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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
14 years 26 days ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Musical Signal Type Discrimination based on Large Open Feature Sets
Automatic discrimination of musical signal types as speech, singing, music, genres or drumbeats within audio streams is of great importance e.g. for radio broadcast stream segment...
Björn Schuller, Frank Wallhoff, Dejan Arsic, ...
SIGIR
2003
ACM
14 years 2 months ago
SETS: search enhanced by topic segmentation
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
Mayank Bawa, Gurmeet Singh Manku, Prabhakar Raghav...
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
14 years 3 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson