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ECML
2004
Springer
14 years 1 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
PATAT
2004
Springer
130views Education» more  PATAT 2004»
14 years 1 months ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith
SBIA
2004
Springer
14 years 1 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
WADT
2004
Springer
14 years 1 months ago
Type Class Polymorphism in an Institutional Framework
Higher-order logic with shallow type class polymorphism is widely used as a specification formalism. Its polymorphic entities (types, operators, axioms) can easily be equipped wit...
Lutz Schröder, Till Mossakowski, Christoph L&...
ICDM
2003
IEEE
95views Data Mining» more  ICDM 2003»
14 years 28 days ago
Evolutionary Gabor Filter Optimization with Application to Vehicle Detection
Abstract—Despite the considerable amount of research work on the application of Gabor filters in pattern classification, their design and selection have been mostly done on a t...
Zehang Sun, George Bebis, Ronald Miller