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» Adaptive Kernel Methods Using the Balancing Principle
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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 5 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
LWA
2007
13 years 9 months ago
Taking the Teacher's Perspective for User Modeling in Complex Domains
Serious games that should adapt training to the individual might benefit from methods that are developed for intelligent tutoring systems. One method, model tracing, might be used...
Christian P. Janssen, Hedderik van Rijn
BMCBI
2006
127views more  BMCBI 2006»
13 years 7 months ago
Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks
Background: To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to c...
Sok June Oh, Je-Gun Joung, Jeong Ho Chang, Byoung-...
BMCBI
2006
85views more  BMCBI 2006»
13 years 7 months ago
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
Background: Understanding how amino acid substitutions affect protein functions is critical for the study of proteins and their implications in diseases. Although methods have bee...
Rui Jiang, Hua Yang, Fengzhu Sun, Ting Chen
ICASSP
2009
IEEE
14 years 2 months ago
Rate distribution between model and signal for multiple descriptions
We consider the rate allocation problem for multiple-description quantization of the signal described by an adaptive model with a fixed structure. The source modeling in coding g...
Janusz Klejsa, W. Bastiaan Kleijn