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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 11 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
PPDP
2009
Springer
15 years 11 months ago
Set functions for functional logic programming
We propose a novel approach to encapsulate non-deterministic computations in functional logic programs. Our approach is based on set functions that return the set of all the resul...
Sergio Antoy, Michael Hanus
PRIMA
2009
Springer
15 years 11 months ago
An Empirical Study of Agent Programs
Agent-oriented programming has been motivated in part by the conception that high-level programming constructs based on common tions such as beliefs and goals provide appropriate a...
M. Birna van Riemsdijk, Koen V. Hindriks
REFSQ
2009
Springer
15 years 11 months ago
Composing Models for Detecting Inconsistencies: A Requirements Engineering Perspective
Abstract. [Context and motivation] Ever-growing systems’ complexity and novel requirements engineering approaches such as reuse or globalization imply that requirements are produ...
Gilles Perrouin, Erwan Brottier, Benoit Baudry, Yv...
SCALESPACE
2009
Springer
15 years 11 months ago
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
Abstract. We wish to recover an image corrupted by blur and Gaussian or impulse noise, in a variational framework. We use two data-fidelity terms depending on the noise, and sever...
Miyoun Jung, Luminita A. Vese