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KDD
1997
ACM
122views Data Mining» more  KDD 1997»
15 years 6 months ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...
132
Voted
IJON
1998
158views more  IJON 1998»
15 years 2 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
CVPR
2004
IEEE
16 years 4 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
121
Voted
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
16 years 3 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
CHI
2007
ACM
16 years 3 months ago
Sharing a single expert among multiple partners
Expertise to assist people on complex tasks is often in short supply. One solution to this problem is to design systems that allow remote experts to help multiple people in simult...
Jeffrey Wong, Lui Min Oh, Jiazhi Ou, Carolyn Penst...