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» From Simple Features to Sophisticated Evaluation Functions
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TFS
2008
230views more  TFS 2008»
13 years 8 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
AAAI
2012
11 years 11 months ago
Learning Games from Videos Guided by Descriptive Complexity
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...
Lukasz Kaiser
CIKM
2009
Springer
14 years 3 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 9 months ago
Pebbling and Branching Programs Solving the Tree Evaluation Problem
We study restricted computation models related to the tree evaluation problem. The TEP was introduced in earlier work as a simple candidate for the (very) long term goal of separa...
Dustin Wehr
BMCBI
2004
151views more  BMCBI 2004»
13 years 8 months ago
Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics
Background: The general problem of RNA secondary structure prediction under the widely used thermodynamic model is known to be NP-complete when the structures considered include a...
Jens Reeder, Robert Giegerich