SlideShare una empresa de Scribd logo

A Bayesian Approach to Data Compression

•Descargar como PPTX, PDF•
•
Joe Suzuki
Joe Suzuki

This document outlines a two-part course on Bayesian approaches to data compression. Part I on July 17th will cover data compression for known and unknown sources over 90 minutes, including a 45-minute exercise. Part II on July 24th will focus on learning graphical models from data based on the concepts from Part I.

Ciencias
1 de 23
A Bayesian Approach to Data Compression Joe Suzuki July 17, 2017
Road Map PART-I: July 17, 2017 1. Data Compression for Known Source (30 mins) 2. Data Compression for Unknown Source (15 mins) 3. Exercise (45 mins) PART-II: July 24, 2017 Learning a graphical model from data (based on PART-I)
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression
A Bayesian Approach to Data Compression

Recomendados

Forest Learning from Data
Forest Learning from DataForest Learning from Data
Forest Learning from DataJoe Suzuki
 
ePOM - Intro to Ocean Data Science - Scientific Computing
ePOM - Intro to Ocean Data Science - Scientific ComputingePOM - Intro to Ocean Data Science - Scientific Computing
ePOM - Intro to Ocean Data Science - Scientific ComputingGiuseppe Masetti
 
SAP webinar: Explaining Keras Image Classification Models with LIME
SAP webinar: Explaining Keras Image Classification Models with LIMESAP webinar: Explaining Keras Image Classification Models with LIME
SAP webinar: Explaining Keras Image Classification Models with LIMEShirin Elsinghorst
 
What We Learned Becoming 3rd Party Recruiters
What We Learned Becoming 3rd Party RecruitersWhat We Learned Becoming 3rd Party Recruiters
What We Learned Becoming 3rd Party RecruitersVested Technology
 
AWE USA 2018 Startup Pitch: Alper Guler with Kabaq
AWE USA 2018 Startup Pitch: Alper Guler with KabaqAWE USA 2018 Startup Pitch: Alper Guler with Kabaq
AWE USA 2018 Startup Pitch: Alper Guler with KabaqAugmentedWorldExpo
 
Ruhr.PY - Introducing Deep Learning with Keras and Python
Ruhr.PY - Introducing Deep Learning with Keras and PythonRuhr.PY - Introducing Deep Learning with Keras and Python
Ruhr.PY - Introducing Deep Learning with Keras and PythonShirin Elsinghorst
 
ePOM - Intro to Ocean Data Science - Data Visualization
ePOM - Intro to Ocean Data Science - Data VisualizationePOM - Intro to Ocean Data Science - Data Visualization
ePOM - Intro to Ocean Data Science - Data VisualizationGiuseppe Masetti
 
20081101 1000sp
20081101 1000sp20081101 1000sp
20081101 1000spK Yamaguchi
 

Recomendados

Forest Learning from Data
Forest Learning from DataForest Learning from Data
Forest Learning from DataJoe Suzuki
 
ePOM - Intro to Ocean Data Science - Scientific Computing
ePOM - Intro to Ocean Data Science - Scientific ComputingePOM - Intro to Ocean Data Science - Scientific Computing
ePOM - Intro to Ocean Data Science - Scientific ComputingGiuseppe Masetti
 
SAP webinar: Explaining Keras Image Classification Models with LIME
SAP webinar: Explaining Keras Image Classification Models with LIMESAP webinar: Explaining Keras Image Classification Models with LIME
SAP webinar: Explaining Keras Image Classification Models with LIMEShirin Elsinghorst
 
What We Learned Becoming 3rd Party Recruiters
What We Learned Becoming 3rd Party RecruitersWhat We Learned Becoming 3rd Party Recruiters
What We Learned Becoming 3rd Party RecruitersVested Technology
 
AWE USA 2018 Startup Pitch: Alper Guler with Kabaq
AWE USA 2018 Startup Pitch: Alper Guler with KabaqAWE USA 2018 Startup Pitch: Alper Guler with Kabaq
AWE USA 2018 Startup Pitch: Alper Guler with KabaqAugmentedWorldExpo
 
Ruhr.PY - Introducing Deep Learning with Keras and Python
Ruhr.PY - Introducing Deep Learning with Keras and PythonRuhr.PY - Introducing Deep Learning with Keras and Python
Ruhr.PY - Introducing Deep Learning with Keras and PythonShirin Elsinghorst
 
ePOM - Intro to Ocean Data Science - Data Visualization
ePOM - Intro to Ocean Data Science - Data VisualizationePOM - Intro to Ocean Data Science - Data Visualization
ePOM - Intro to Ocean Data Science - Data VisualizationGiuseppe Masetti
 
20081101 1000sp
20081101 1000sp20081101 1000sp
20081101 1000spK Yamaguchi
 
RとPythonを比較する
RとPythonを比較するRとPythonを比較する
RとPythonを比較するJoe Suzuki
 
R集会@統数研
R集会@統数研R集会@統数研
R集会@統数研Joe Suzuki
 
E-learning Development of Statistics and in Duex: Practical Approaches and Th...
E-learning Development of Statistics and in Duex: Practical Approaches and Th...E-learning Development of Statistics and in Duex: Practical Approaches and Th...
E-learning Development of Statistics and in Duex: Practical Approaches and Th...Joe Suzuki
 
分枝限定法でモデル選択の計算量を低減する
分枝限定法でモデル選択の計算量を低減する分枝限定法でモデル選択の計算量を低減する
分枝限定法でモデル選択の計算量を低減するJoe Suzuki
 
連続変量を含む条件付相互情報量の推定
連続変量を含む条件付相互情報量の推定連続変量を含む条件付相互情報量の推定
連続変量を含む条件付相互情報量の推定Joe Suzuki
 
E-learning Design and Development for Data Science in Osaka University
E-learning Design and Development for Data Science in Osaka UniversityE-learning Design and Development for Data Science in Osaka University
E-learning Design and Development for Data Science in Osaka UniversityJoe Suzuki
 
UAI 2017
UAI 2017UAI 2017
UAI 2017Joe Suzuki
 
AMBN2017 サテライトワークショップ
AMBN2017 サテライトワークショップAMBN2017 サテライトワークショップ
AMBN2017 サテライトワークショップJoe Suzuki
 
CRAN Rパッケージ BNSLの概要
CRAN Rパッケージ BNSLの概要CRAN Rパッケージ BNSLの概要
CRAN Rパッケージ BNSLの概要Joe Suzuki
 
A Conjecture on Strongly Consistent Learning
A Conjecture on Strongly Consistent LearningA Conjecture on Strongly Consistent Learning
A Conjecture on Strongly Consistent LearningJoe Suzuki
 
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...Joe Suzuki
 
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...Joe Suzuki
 
研究紹介(学生向け)
研究紹介(学生向け)研究紹介(学生向け)
研究紹介(学生向け)Joe Suzuki
 
Bayesian Criteria based on Universal Measures
Bayesian Criteria based on Universal MeasuresBayesian Criteria based on Universal Measures
Bayesian Criteria based on Universal MeasuresJoe Suzuki
 
MDL/Bayesian Criteria based on Universal Coding/Measure
MDL/Bayesian Criteria based on Universal Coding/MeasureMDL/Bayesian Criteria based on Universal Coding/Measure
MDL/Bayesian Criteria based on Universal Coding/MeasureJoe Suzuki
 
The Universal Measure for General Sources and its Application to MDL/Bayesian...
The Universal Measure for General Sources and its Application to MDL/Bayesian...The Universal Measure for General Sources and its Application to MDL/Bayesian...
The Universal Measure for General Sources and its Application to MDL/Bayesian...Joe Suzuki
 
Universal Prediction without assuming either Discrete or Continuous
Universal Prediction without assuming either Discrete or ContinuousUniversal Prediction without assuming either Discrete or Continuous
Universal Prediction without assuming either Discrete or ContinuousJoe Suzuki
 
Bayesian network structure estimation based on the Bayesian/MDL criteria when...
Bayesian network structure estimation based on the Bayesian/MDL criteria when...Bayesian network structure estimation based on the Bayesian/MDL criteria when...
Bayesian network structure estimation based on the Bayesian/MDL criteria when...Joe Suzuki
 
The Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmThe Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmJoe Suzuki
 
Bayes Independence Test
Bayes Independence TestBayes Independence Test
Bayes Independence TestJoe Suzuki
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)Areesha Ahmad
 
FAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical ScienceFAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical ScienceAlex Henderson
 

Más contenido relacionado

Más de Joe Suzuki

RとPythonを比較する
RとPythonを比較するRとPythonを比較する
RとPythonを比較するJoe Suzuki
 
R集会@統数研
R集会@統数研R集会@統数研
R集会@統数研Joe Suzuki
 
E-learning Development of Statistics and in Duex: Practical Approaches and Th...
E-learning Development of Statistics and in Duex: Practical Approaches and Th...E-learning Development of Statistics and in Duex: Practical Approaches and Th...
E-learning Development of Statistics and in Duex: Practical Approaches and Th...Joe Suzuki
 
分枝限定法でモデル選択の計算量を低減する
分枝限定法でモデル選択の計算量を低減する分枝限定法でモデル選択の計算量を低減する
分枝限定法でモデル選択の計算量を低減するJoe Suzuki
 
連続変量を含む条件付相互情報量の推定
連続変量を含む条件付相互情報量の推定連続変量を含む条件付相互情報量の推定
連続変量を含む条件付相互情報量の推定Joe Suzuki
 
E-learning Design and Development for Data Science in Osaka University
E-learning Design and Development for Data Science in Osaka UniversityE-learning Design and Development for Data Science in Osaka University
E-learning Design and Development for Data Science in Osaka UniversityJoe Suzuki
 
AMBN2017 サテライトワークショップ
AMBN2017 サテライトワークショップAMBN2017 サテライトワークショップ
AMBN2017 サテライトワークショップJoe Suzuki
 
CRAN Rパッケージ BNSLの概要
CRAN Rパッケージ BNSLの概要CRAN Rパッケージ BNSLの概要
CRAN Rパッケージ BNSLの概要Joe Suzuki
 
A Conjecture on Strongly Consistent Learning
A Conjecture on Strongly Consistent LearningA Conjecture on Strongly Consistent Learning
A Conjecture on Strongly Consistent LearningJoe Suzuki
 
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...Joe Suzuki
 
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...Joe Suzuki
 
研究紹介(学生向け)
研究紹介(学生向け)研究紹介(学生向け)
研究紹介(学生向け)Joe Suzuki
 
Bayesian Criteria based on Universal Measures
Bayesian Criteria based on Universal MeasuresBayesian Criteria based on Universal Measures
Bayesian Criteria based on Universal MeasuresJoe Suzuki
 
MDL/Bayesian Criteria based on Universal Coding/Measure
MDL/Bayesian Criteria based on Universal Coding/MeasureMDL/Bayesian Criteria based on Universal Coding/Measure
MDL/Bayesian Criteria based on Universal Coding/MeasureJoe Suzuki
 
The Universal Measure for General Sources and its Application to MDL/Bayesian...
The Universal Measure for General Sources and its Application to MDL/Bayesian...The Universal Measure for General Sources and its Application to MDL/Bayesian...
The Universal Measure for General Sources and its Application to MDL/Bayesian...Joe Suzuki
 
Universal Prediction without assuming either Discrete or Continuous
Universal Prediction without assuming either Discrete or ContinuousUniversal Prediction without assuming either Discrete or Continuous
Universal Prediction without assuming either Discrete or ContinuousJoe Suzuki
 
Bayesian network structure estimation based on the Bayesian/MDL criteria when...
Bayesian network structure estimation based on the Bayesian/MDL criteria when...Bayesian network structure estimation based on the Bayesian/MDL criteria when...
Bayesian network structure estimation based on the Bayesian/MDL criteria when...Joe Suzuki
 
The Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmThe Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmJoe Suzuki
 
Bayes Independence Test
Bayes Independence TestBayes Independence Test
Bayes Independence TestJoe Suzuki
 

Más de Joe Suzuki (20)

RとPythonを比較する
RとPythonを比較するRとPythonを比較する
RとPythonを比較する
 
R集会@統数研
R集会@統数研R集会@統数研
R集会@統数研
 
E-learning Development of Statistics and in Duex: Practical Approaches and Th...
E-learning Development of Statistics and in Duex: Practical Approaches and Th...E-learning Development of Statistics and in Duex: Practical Approaches and Th...
E-learning Development of Statistics and in Duex: Practical Approaches and Th...
 
分枝限定法でモデル選択の計算量を低減する
分枝限定法でモデル選択の計算量を低減する分枝限定法でモデル選択の計算量を低減する
分枝限定法でモデル選択の計算量を低減する
 
連続変量を含む条件付相互情報量の推定
連続変量を含む条件付相互情報量の推定連続変量を含む条件付相互情報量の推定
連続変量を含む条件付相互情報量の推定
 
E-learning Design and Development for Data Science in Osaka University
E-learning Design and Development for Data Science in Osaka UniversityE-learning Design and Development for Data Science in Osaka University
E-learning Design and Development for Data Science in Osaka University
 
UAI 2017
UAI 2017UAI 2017
UAI 2017
 
AMBN2017 サテライトワークショップ
AMBN2017 サテライトワークショップAMBN2017 サテライトワークショップ
AMBN2017 サテライトワークショップ
 
CRAN Rパッケージ BNSLの概要
CRAN Rパッケージ BNSLの概要CRAN Rパッケージ BNSLの概要
CRAN Rパッケージ BNSLの概要
 
A Conjecture on Strongly Consistent Learning
A Conjecture on Strongly Consistent LearningA Conjecture on Strongly Consistent Learning
A Conjecture on Strongly Consistent Learning
 
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...
A Generalization of the Chow-Liu Algorithm and its Applications to Artificial...
 
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...
A Generalization of Nonparametric Estimation and On-Line Prediction for Stati...
 
研究紹介(学生向け)
研究紹介(学生向け)研究紹介(学生向け)
研究紹介(学生向け)
 
Bayesian Criteria based on Universal Measures
Bayesian Criteria based on Universal MeasuresBayesian Criteria based on Universal Measures
Bayesian Criteria based on Universal Measures
 
MDL/Bayesian Criteria based on Universal Coding/Measure
MDL/Bayesian Criteria based on Universal Coding/MeasureMDL/Bayesian Criteria based on Universal Coding/Measure
MDL/Bayesian Criteria based on Universal Coding/Measure
 
The Universal Measure for General Sources and its Application to MDL/Bayesian...
The Universal Measure for General Sources and its Application to MDL/Bayesian...The Universal Measure for General Sources and its Application to MDL/Bayesian...
The Universal Measure for General Sources and its Application to MDL/Bayesian...
 
Universal Prediction without assuming either Discrete or Continuous
Universal Prediction without assuming either Discrete or ContinuousUniversal Prediction without assuming either Discrete or Continuous
Universal Prediction without assuming either Discrete or Continuous
 
Bayesian network structure estimation based on the Bayesian/MDL criteria when...
Bayesian network structure estimation based on the Bayesian/MDL criteria when...Bayesian network structure estimation based on the Bayesian/MDL criteria when...
Bayesian network structure estimation based on the Bayesian/MDL criteria when...
 
The Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu AlgorithmThe Universal Bayesian Chow-Liu Algorithm
The Universal Bayesian Chow-Liu Algorithm
 
Bayes Independence Test
Bayes Independence TestBayes Independence Test
Bayes Independence Test
 

Último

GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)Areesha Ahmad
 
FAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical ScienceFAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical ScienceAlex Henderson
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxseri bangash
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and ClassificationsAreesha Ahmad
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxDiariAli
 
Conjugation, transduction and transformation
Conjugation, transduction and transformationConjugation, transduction and transformation
Conjugation, transduction and transformationAreesha Ahmad
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Serviceshivanisharma5244
 
pumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit flypumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit flyPRADYUMMAURYA1
 
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...Monika Rani
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxMohamedFarag457087
 
Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...
Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...
Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...Silpa
 
Introduction of DNA analysis in Forensic's .pptx
Introduction of DNA analysis in Forensic's .pptxIntroduction of DNA analysis in Forensic's .pptx
Introduction of DNA analysis in Forensic's .pptxrohankumarsinghrore1
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...Scintica Instrumentation
 
Module for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learningModule for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learninglevieagacer
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusNazaninKarimi6
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxRenuJangid3
 
Dr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspectsDr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspectsmuralinath2
 
Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.Silpa
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learninglevieagacer
 

Último (20)

GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)
 
FAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical ScienceFAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical Science
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
Conjugation, transduction and transformation
Conjugation, transduction and transformationConjugation, transduction and transformation
Conjugation, transduction and transformation
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
 
pumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit flypumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit fly
 
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...
Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...
Locating and isolating a gene, FISH, GISH, Chromosome walking and jumping, te...
 
Introduction of DNA analysis in Forensic's .pptx
Introduction of DNA analysis in Forensic's .pptxIntroduction of DNA analysis in Forensic's .pptx
Introduction of DNA analysis in Forensic's .pptx
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
 
Site Acceptance Test .
Site Acceptance Test .Site Acceptance Test .
Site Acceptance Test .
 
Module for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learningModule for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learning
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virus
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
 
Dr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspectsDr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspects
 
Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 

A Bayesian Approach to Data Compression

  • 1. A Bayesian Approach to Data Compression Joe Suzuki July 17, 2017
  • 2. Road Map PART-I: July 17, 2017 1. Data Compression for Known Source (30 mins) 2. Data Compression for Unknown Source (15 mins) 3. Exercise (45 mins) PART-II: July 24, 2017 Learning a graphical model from data (based on PART-I)