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ILP
2007
Springer
14 years 3 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...
AAIM
2005
Springer
110views Algorithms» more  AAIM 2005»
14 years 2 months ago
Dynamically Updating the Exploiting Parameter in Improving Performance of Ant-Based Algorithms
Abstract. The utilization of pseudo-random proportional rule to balance between the exploitation and exploration of the search process was shown in Ant Colony System (ACS) algorith...
Hoang Trung Dinh, Abdullah Al Mamun, Hieu T. Dinh
DATAMINE
2010
122views more  DATAMINE 2010»
13 years 9 months ago
Three naive Bayes approaches for discrimination-free classification
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
Toon Calders, Sicco Verwer
TSP
2008
151views more  TSP 2008»
13 years 9 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
SIGIR
2002
ACM
13 years 8 months ago
Effective collection metasearch in a hierarchical environment: global vs. localized retrieval performance
We compare standard global IR searching with user-centric localized techniques to address the database selection problem. We conduct a series of experiments to compare the retriev...
Jack G. Conrad, Changwen Yang, Joanne S. Claussen