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» Combining Estimators to Improve Performance
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170
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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
16 years 1 months ago
Genetic multi-step search in interpolation and extrapolation domain
The deterministic Multi-step Crossover Fusion (dMSXF) is an improved crossover method of MSXF which is a promising method of JSP, and it shows high availability in TSP. Both of th...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
192
Voted
NLPRS
2001
Springer
16 years 4 days ago
An Empirical Study of Feature Set Selection for Text Chunking
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
Young-Sook Hwang, Yong-Jae Kwak, Hoo-Jung Chung, S...
243
Voted
ICMLA
2008
15 years 9 months ago
Multimodal Music Mood Classification Using Audio and Lyrics
In this paper we present a study on music mood classification using audio and lyrics information. The mood of a song is expressed by means of musical features but a relevant part ...
Cyril Laurier, Jens Grivolla, Perfecto Herrera
233
Voted
CVPR
2007
IEEE
16 years 9 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
195
Voted
IPPS
2008
IEEE
16 years 2 months ago
Adaptive tuning in a dynamically changing resource environment
We present preliminary results of a project to create a tuning system that adaptively optimizes programs to the underlying execution platform. We will show initial results from tw...
Seyong Lee, Rudolf Eigenmann