855 resultados para job search workshops


Relevância:

20.00% 20.00%

Publicador:

Resumo:

One objective of artificial intelligence is to model the behavior of an intelligent agent interacting with its environment. The environment's transformations can be modeled as a Markov chain, whose state is partially observable to the agent and affected by its actions; such processes are known as partially observable Markov decision processes (POMDPs). While the environment's dynamics are assumed to obey certain rules, the agent does not know them and must learn. In this dissertation we focus on the agent's adaptation as captured by the reinforcement learning framework. This means learning a policy---a mapping of observations into actions---based on feedback from the environment. The learning can be viewed as browsing a set of policies while evaluating them by trial through interaction with the environment. The set of policies is constrained by the architecture of the agent's controller. POMDPs require a controller to have a memory. We investigate controllers with memory, including controllers with external memory, finite state controllers and distributed controllers for multi-agent systems. For these various controllers we work out the details of the algorithms which learn by ascending the gradient of expected cumulative reinforcement. Building on statistical learning theory and experiment design theory, a policy evaluation algorithm is developed for the case of experience re-use. We address the question of sufficient experience for uniform convergence of policy evaluation and obtain sample complexity bounds for various estimators. Finally, we demonstrate the performance of the proposed algorithms on several domains, the most complex of which is simulated adaptive packet routing in a telecommunication network.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

In this paper, we develop a novel index structure to support efficient approximate k-nearest neighbor (KNN) query in high-dimensional databases. In high-dimensional spaces, the computational cost of the distance (e.g., Euclidean distance) between two points contributes a dominant portion of the overall query response time for memory processing. To reduce the distance computation, we first propose a structure (BID) using BIt-Difference to answer approximate KNN query. The BID employs one bit to represent each feature vector of point and the number of bit-difference is used to prune the further points. To facilitate real dataset which is typically skewed, we enhance the BID mechanism with clustering, cluster adapted bitcoder and dimensional weight, named the BID⁺. Extensive experiments are conducted to show that our proposed method yields significant performance advantages over the existing index structures on both real life and synthetic high-dimensional datasets.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integration, we introduce keyword join operator to combine partial answers containing different keywords into complete answers. We also present an efficient algorithm that optimize the keyword join operations for partial answer integration. Our experimental study on both real and synthetic datasets demonstrates the effectiveness of our algorithms, and the efficiency of the proposed query processing strategies.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

We develop an extension to the tactical planning model (TPM) for a job shop by the third author. The TPM is a discrete-time model in which all transitions occur at the start of each time period. The time period must be defined appropriately in order for the model to be meaningful. Each period must be short enough so that a job is unlikely to travel through more than one station in one period. At the same time, the time period needs to be long enough to justify the assumptions of continuous workflow and Markovian job movements. We build an extension to the TPM that overcomes this restriction of period sizing by permitting production control over shorter time intervals. We achieve this by deriving a continuous-time linear control rule for a single station. We then determine the first two moments of the production level and queue length for the workstation.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Resumen tomado de la publicaci??n

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task

Relevância:

20.00% 20.00%

Publicador:

Resumo:

This paper proposes a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, when using RL, has been to apply value function based algorithms, the system here detailed is characterized by the use of direct policy search methods. Rather than approximating a value function, these methodologies approximate a policy using an independent function approximator with its own parameters, trying to maximize the future expected reward. The policy based algorithm presented in this paper is used for learning the internal state/action mapping of a behavior. In this preliminary work, we demonstrate its feasibility with simulated experiments using the underwater robot GARBI in a target reaching task

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Objetivo: Determinar la prevalencia del dolor lumbar y su asociación con cinco variables de condición física en 346 trabajadores del área administrativa de una institución educativa en la ciudad de Bogotá, mediante la revisión y análisis de la base de datos de la empresa Ergosourcing Ltda. Métodos: La población de estudio estuvo conformada por los 346 trabajadores a quienes se les practicó evaluación de la condición física por parte de fisioterapeutas especialistas en prescripción de ejercicio, entre Julio y Septiembre de 2008. La variable dependiente fue el Dolor lumbar evaluando la morbilidad sentida, de acuerdo a una escala descriptiva simple de dolor. Las variables independientes fueron índice de masa corporal, adipometría, alineación postural, flexibilidad de Wells y potencia abdominal. Se practicó análisis bivariante y se ajustó un modelo de regresión logística incondicional para determinar la relación entre las variables. Resultados: La prevalencia de dolor lumbar en la población fue del 20,3%. Tras ajustar por todas las variables independientes, se observó asociación con la edad (p 0,007), el tiempo de servicio en el cargo (p 0,03) y el sobrepeso – obesidad, medidos a través de la adipometría (p 0,05). Se halló un riesgo 7 veces mayor entre las personas que tenían sobrepeso y obesidad comparados con los que presentaban peso normal y de 13,4 veces más en personas de 55 años o mayores al tomar como referencia el grupo de menores de 25 años. Conclusiones: se encontró que tienen más riesgo de dolor lumbar los trabajadores del grupo de mayor edad (> 55 años) y con más tiempo de exposición (> 20 años); al determinar sobrepeso y obesidad con la adipometría y no con el IMC, se encontró que si hay asociación significativa con dolor lumbar. Es necesario realizar un estudio en trabajadores con requerimientos físicos mayores y compararlos con los resultados de este estudio. Es de relevancia implementar la búsqueda de pruebas que permitan evaluar la condición física de los trabajadores, establecer su relación con el dolor lumbar y sean predictivas de su aparición.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Resumen tomado de la publicaci??n

Relevância:

20.00% 20.00%

Publicador:

Resumo:

What are ways of searching in graphs? In this class, we will discuss basics of link analysis, including Google's PageRank algorithm as an example. Readings: The PageRank Citation Ranking: Bringing Order to the Web, L. Page and S. Brin and R. Motwani and T. Winograd (1998) Stanford Tecnical Report

Relevância:

20.00% 20.00%

Publicador:

Resumo:

La búsqueda de alternativas que frenen eficazmente las consecuencias del conflicto armado en Colombia, es una labor que algunos ex mandatarios han liderado debido a los perjuicios que ocasionan no solo al núcleo familiar, sino en gran medida a la mujer. Ella es una de las víctimas de la violencia por ser líder comunitaria, por dirigir una fundación, ó por tener algún familiar vinculado a la Policía, el Ejército o a un grupo al margen de la ley. Todas estas condiciones, propias del conflicto armado, vulneran los derechos de la mujer pero, al mismo tiempo, impulsa a que ellas hagan uso de sus experiencias negativas con el fin de minimizar las problemáticas sociales y el impacto de la violencia en sus vidas. Este trabajo periodístico desarrolla cuatro reportajes mediante el uso de cuestionarios con preguntas a profundidad y es complementado con un video, con el propósito de destacar la lucha y la labor de cuatro gestoras de paz, quienes utilizan diferentes estrategias como la creación de movimientos sociales, la utilización de marchas o plantones, la divulgación de talleres sobre el perdón y reconciliación, o la construcción de un Banco del Trueque, para contrarrestar la violencia de la que son objeto. Se concluye que el papel de la mujer, como constructora de paz, no puede ser clasificado en un único objetivo, sino debe entenderse como la suma de múltiples prioridades debido a que el conflicto armado afecta de diferente manera a la mujer, a su familia, y a su comunidad. Su capacidad de liderazgo y de entrega hace que su labor sea de suma importancia pues su huella beneficia a toda la sociedad. Hay que destacar que el desafío de esta nueva gestora consiste en visibilizar su trabajo para ganar mayor reconocimiento político, promover su participación en acuerdos de paz, y minimizar las situaciones que ponen en riesgo su vida y la de sus organizaciones.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Need help on a given topic? Topics Search tab can help narrow down the search.