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SIGMETRICS
2000
ACM
105views Hardware» more  SIGMETRICS 2000»
15 years 2 months ago
Using the exact state space of a Markov model to compute approximate stationary measures
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
Andrew S. Miner, Gianfranco Ciardo, Susanna Donate...
ILP
2007
Springer
15 years 4 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
BIOSYSTEMS
2008
83views more  BIOSYSTEMS 2008»
14 years 10 months ago
Hydrophobic condensation and modular assembly model of protein folding
Despite several decades of intense study, protein folding problem remains elusive. In this paper, we review current knowledge and the prevailing thinking in the field, and summari...
Tian-Yow Tsong, Chin-Kun Hu, Ming-Chya Wu
SMC
2007
IEEE
151views Control Systems» more  SMC 2007»
15 years 4 months ago
Growing recurrent self organizing map
— The growing Recurrent Self-Organizing Map (GRSOM) is embedded into a standard Self-Organizing Map (SOM) hierarchy. To do so, the KDD benchmark dataset from the International Kn...
Ozge Yeloglu, A. Nur Zincir-Heywood, Malcolm I. He...
DMIN
2006
132views Data Mining» more  DMIN 2006»
14 years 11 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007