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ICCBR
2005
Springer
14 years 1 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
ECML
2006
Springer
13 years 11 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
ASIAN
2003
Springer
127views Algorithms» more  ASIAN 2003»
14 years 1 months ago
A Calculus of Bounded Capacities
Abstract. Resource control has attracted increasing interest in foundational research on distributed systems. This paper focuses on space control and develops an analysis of space ...
Franco Barbanera, Michele Bugliesi, Mariangiola De...
DIS
2001
Springer
14 years 12 days ago
Towards a Method of Searching a Diverse Theory Space for Scientific Discovery
Scientists need customizable tools to help them with discovery. We present an adjustable heuristic function for scientific discovery. This function may be considered in either a Mi...
Joseph Phillips
BIOCOMP
2006
13 years 9 months ago
A New Algorithm to Predict the Active Sites Using Amino Acid Vectors and Biochemical features of Surface Patches
: It is a very active research field to predict protein functions and active sites by protein surface patches. It is especially challengeable to predict the active sites by structu...
Sunshin Kim, Chung Rhee, Jungdo Choi, Yong Je Chun...