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» A Framework for Multiple-Instance Learning
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182
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KDD
2002
ACM
110views Data Mining» more  KDD 2002»
16 years 7 months ago
A model for discovering customer value for E-content
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
Srinivasan Jagannathan, Jayanth Nayak, Kevin C. Al...
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
16 years 7 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
161
Voted
CHI
2001
ACM
16 years 7 months ago
Beyond command knowledge: identifying and teaching strategic knowledge for using complex computer applications
Despite experience, many users do not make efficient use of complex computer applications. We argue that this is caused by a lack of strategic knowledge that is difficult to acqui...
Suresh K. Bhavnani, Frederick Reif, Bonnie E. John
SIGMOD
2006
ACM
107views Database» more  SIGMOD 2006»
16 years 7 months ago
Documentum ECI self-repairing wrappers: performance analysis
Documentum Enterprise Content Integration (ECI) services is a content integration middleware that provides one-query access to the Intranet and Internet content resources. The ECI...
Boris Chidlovskii, Bruno Roustant, Marc Brette
226
Voted
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
16 years 4 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee