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» A New Algorithm for Mining Sequential Patterns
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HIPEAC
2005
Springer
14 years 1 months ago
Induction Variable Analysis with Delayed Abstractions
ions Sebastian Pop 1 , Albert Cohen 2 , and Georges-Andr´e Silber 1 1 CRI, Mines Paris, Fontainebleau, France 2 ALCHEMY group, INRIA Futurs, Orsay, France Abstract. This paper pre...
Sebastian Pop, Albert Cohen, Georges-André ...
SIGIR
2003
ACM
14 years 22 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 7 months ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 7 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 7 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle