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» Selectivity Estimation using Probabilistic Models
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110
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PRIS
2004
15 years 4 months ago
Effect of Feature Smoothing Methods in Text Classification Tasks
Abstract. The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds o...
David Vilar, Hermann Ney, Alfons Juan, Enrique Vid...
162
Voted
FCSC
2007
159views more  FCSC 2007»
15 years 2 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
135
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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 6 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
ICC
2007
IEEE
143views Communications» more  ICC 2007»
15 years 9 months ago
An Improved Joint M-Algorithm for Single Antenna Interference Cancellation in TDMA Mobile Radio
— We target M-ary data sequence estimation over time-variant frequency selective fading channels subject to cochannel interference (CCI). A novel joint reduced state sequence est...
Thorben Detert, Romain Drauge
125
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JMLR
2010
165views more  JMLR 2010»
14 years 9 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...