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In Artificial Intelligence, planning refers to an area of research that proposes to develop systems that can automatically generate a result set, in the form of an integrated decisionmaking system through a formal procedure, known as plan. Instead of resorting to the scheduling algorithms to generate plans, it is proposed to operate the automatic learning by decision tree to optimize time. In this paper, we propose to build a classification model by induction graph from a learning sample containing plans that have an associated set of descriptors whose values change depending on each plan. This model will then operate for classifying new cases by assigning the appropriate plan.
PLANNING BASED ON CLASSIFICATION BY INDUCTION GRAPH
PLANNING BASED ON CLASSIFICATION BY INDUCTION GRAPH
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Jim Alvino Interview of Dr Amit Goswami Part 2 Transcript
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Este trabajo se propone dar una perspectiva a la experiencia musical desde la subjetividad y la objetividad que se ponen en juego en la música. La escucha será de esta manera la que concertará la relación. Examinaremos la música como cuerpo, en el sentido de su composición a la luz de su propia materialidad –relaciones de complejos sonoros que se proponen un sentido-, a la vez que se tratará de plantear algunas proposiciones sobre cómo es recepcionado ese cuerpo en una subjetividad a partir de la escucha. Para estos fines el plan será visitar algunas reflexiones de Nietzsche y Adorno con respecto a la música desde su propia complexión, pasando por Nancy para comprender la escucha desde un adentro/afuera que considera tanto el mensaje y la recepción, como la posibilidad de una escucha a la apertura de un sentido, para luego aterrizar en las tipologías de la escucha en Adorno para comprender la complejidad de los comportamientos musicales en una sociedad capitalizada.
La música como cuerpo (revista depliegue)
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Gonzalo Cáceres Mora
Many theoretical works and tools on epidemiological field reflect the emphasis on decisionmaking tools by both public health and the scientific community, which continues to increase. Indeed, in the epidemiological field, modeling tools are proving a very important way in helping to make decision. However, the variety, the large volume of data and the nature of epidemics lead us to seek solutions to alleviate the heavy burden imposed on both experts and developers. In this paper, we present a new approach: the passage of an epidemic model realized in Bio- PEPA to a narrative language using the basics of SBML language. Our goal is to allow on one hand, epidemiologists to verify and validate the model, and the other hand, developers to optimize the model in order to achieve a better model of decision making. We also present some preliminary results and some suggestions to improve the simulated model.
SBML FOR OPTIMIZING DECISION SUPPORT'S TOOLS
SBML FOR OPTIMIZING DECISION SUPPORT'S TOOLS
csandit
With the growth in population, the occurrence of automobile accidents has also seen an increase. A detailed analysis shows that, around half million accidents occur in a year , in India alone. Further , around 60% of these accidents are caused due to driver fatigue. Driver fatigue affects the driving ability in the following 3 areas, a) It impairs coordination, b) It causes longer reaction times, and, c)It impairs judgment. Through this paper, we provide a real time monitoring system using image processing, face/eye detection techniques. Further, to ensure real-time computation, Haarcascade samples are used to differentiate between an eye blink and drowsy/fatigue detection.
REAL TIME DROWSY DRIVER DETECTION USING HAARCASCADE SAMPLES
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Resolución 3681 de 2013- Requerimientos Censo de pacientes con Enfermedades H...
Resolución 3681 de 2013- Requerimientos Censo de pacientes con Enfermedades H...
FECOER :: Federación Colombiana de Enfermedades Raras
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In Artificial Intelligence, planning refers to an area of research that proposes to develop systems that can automatically generate a result set, in the form of an integrated decisionmaking system through a formal procedure, known as plan. Instead of resorting to the scheduling algorithms to generate plans, it is proposed to operate the automatic learning by decision tree to optimize time. In this paper, we propose to build a classification model by induction graph from a learning sample containing plans that have an associated set of descriptors whose values change depending on each plan. This model will then operate for classifying new cases by assigning the appropriate plan.
PLANNING BASED ON CLASSIFICATION BY INDUCTION GRAPH
PLANNING BASED ON CLASSIFICATION BY INDUCTION GRAPH
csandit
Información general sobre la fotografía digital
Fotografía Digital
Fotografía Digital
Daniela Uribe
Jim Alvino Interview of Dr Amit Goswami Part 2 Transcript
Jim Alvino Interview of Dr Amit Goswami Part 2 Transcript
Dr Jim Alvino
Este trabajo se propone dar una perspectiva a la experiencia musical desde la subjetividad y la objetividad que se ponen en juego en la música. La escucha será de esta manera la que concertará la relación. Examinaremos la música como cuerpo, en el sentido de su composición a la luz de su propia materialidad –relaciones de complejos sonoros que se proponen un sentido-, a la vez que se tratará de plantear algunas proposiciones sobre cómo es recepcionado ese cuerpo en una subjetividad a partir de la escucha. Para estos fines el plan será visitar algunas reflexiones de Nietzsche y Adorno con respecto a la música desde su propia complexión, pasando por Nancy para comprender la escucha desde un adentro/afuera que considera tanto el mensaje y la recepción, como la posibilidad de una escucha a la apertura de un sentido, para luego aterrizar en las tipologías de la escucha en Adorno para comprender la complejidad de los comportamientos musicales en una sociedad capitalizada.
La música como cuerpo (revista depliegue)
La música como cuerpo (revista depliegue)
Gonzalo Cáceres Mora
Many theoretical works and tools on epidemiological field reflect the emphasis on decisionmaking tools by both public health and the scientific community, which continues to increase. Indeed, in the epidemiological field, modeling tools are proving a very important way in helping to make decision. However, the variety, the large volume of data and the nature of epidemics lead us to seek solutions to alleviate the heavy burden imposed on both experts and developers. In this paper, we present a new approach: the passage of an epidemic model realized in Bio- PEPA to a narrative language using the basics of SBML language. Our goal is to allow on one hand, epidemiologists to verify and validate the model, and the other hand, developers to optimize the model in order to achieve a better model of decision making. We also present some preliminary results and some suggestions to improve the simulated model.
SBML FOR OPTIMIZING DECISION SUPPORT'S TOOLS
SBML FOR OPTIMIZING DECISION SUPPORT'S TOOLS
csandit
With the growth in population, the occurrence of automobile accidents has also seen an increase. A detailed analysis shows that, around half million accidents occur in a year , in India alone. Further , around 60% of these accidents are caused due to driver fatigue. Driver fatigue affects the driving ability in the following 3 areas, a) It impairs coordination, b) It causes longer reaction times, and, c)It impairs judgment. Through this paper, we provide a real time monitoring system using image processing, face/eye detection techniques. Further, to ensure real-time computation, Haarcascade samples are used to differentiate between an eye blink and drowsy/fatigue detection.
REAL TIME DROWSY DRIVER DETECTION USING HAARCASCADE SAMPLES
REAL TIME DROWSY DRIVER DETECTION USING HAARCASCADE SAMPLES
csandit
Aplicaciones de la trigonometría
Aplicaciones de la trigonometría
Daniela Morales
Diario Oficial No. 48.922 de 23 de septiembre de 2013 MINISTERIO DE SALUD Y PROTECCIÓN SOCIAL Por la cual se definen los contenidos y requerimientos técnicos de la información a reportar, por una única vez, a la Cuenta de Alto Costo, para la elaboración del censo de pacientes con enfermedades huérfanas.
Resolución 3681 de 2013- Requerimientos Censo de pacientes con Enfermedades H...
Resolución 3681 de 2013- Requerimientos Censo de pacientes con Enfermedades H...
FECOER :: Federación Colombiana de Enfermedades Raras
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Presentación1 008
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