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» A General Framework for Knowledge Compilation
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CORR
2008
Springer
119views Education» more  CORR 2008»
14 years 10 months ago
A maximum entropy approach to OFDM channel estimation
In this work, a Bayesian framework for OFDM channel estimation is proposed. Using the maximum entropy principle to exploit prior system information at the receiver, we successively...
Romain Couillet, Mérouane Debbah
ICML
2007
IEEE
15 years 10 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ACMICEC
2006
ACM
120views ECommerce» more  ACMICEC 2006»
15 years 1 months ago
A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces
This paper presents a visual application in the framework of semantic-enabled e-marketplaces aimed at fully exploiting semantics of supply/demand descriptions in B2C and C2C e-mar...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
ATAL
2006
Springer
15 years 1 months ago
Formalizing typicality of objects and context-sensitivity in ontologies
In multiagent systems ontologies are essential because they facilitate tasks like communications and reasoning. In this paper, inspired by studies in cognitive psychology, we pres...
Ching-man Au Yeung, Ho-fung Leung
ACL
2008
14 years 11 months ago
Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums
Online forum discussions often contain vast amounts of questions that are the focuses of discussions. Extracting contexts and answers together with the questions will yield not on...
Shilin Ding, Gao Cong, Chin-Yew Lin, Xiaoyan Zhu