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» Perturbation based Large Margin Approach for Ranking
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ML
2006
ACM
13 years 7 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
ICCAD
1999
IEEE
78views Hardware» more  ICCAD 1999»
13 years 12 months ago
Probabilistic state space search
This paper describes a probabilistic approach to state space search. The presented method applies a ranking of the design states according to their probability of reaching a given...
Andreas Kuehlmann, Kenneth L. McMillan, Robert K. ...
TREC
2000
13 years 8 months ago
Question Answering: CNLP at the TREC-9 Question Answering Track
This paper describes a question answering system that automatically finds answers to questions in a large collection of documents. The prototype CNLP question answering system was...
Anne Diekema, Xiaoyong Liu, Jiangping Chen, Hudong...
ICIP
2005
IEEE
14 years 9 months ago
Feature selection with nonparametric statistics
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
Emanuele Franceschi, Francesca Odone, Fabrizio Sme...
BIOINFORMATICS
2007
151views more  BIOINFORMATICS 2007»
13 years 7 months ago
A new protein-protein docking scoring function based on interface residue properties
Motivation: Protein–protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low s...
Julie Bernauer, Jérôme Azé, Jo...