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» Pattern-Recognition: a Foundational Approach
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KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 5 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
142
Voted
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 5 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
129
Voted
KDD
2003
ACM
152views Data Mining» more  KDD 2003»
16 years 5 months ago
Interactive exploration of coherent patterns in time-series gene expression data
Discovering coherent gene expression patterns in time-series gene expression data is an important task in bioinformatics research and biomedical applications. In this paper, we pr...
Daxin Jiang, Jian Pei, Aidong Zhang
132
Voted
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 5 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 5 months ago
Topics in 0--1 data
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
Ella Bingham, Heikki Mannila, Jouni K. Seppän...