Sciweavers

KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 9 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
14 years 9 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
KDD
2004
ACM
112views Data Mining» more  KDD 2004»
14 years 9 months ago
An iterative method for multi-class cost-sensitive learning
Naoki Abe, Bianca Zadrozny, John Langford
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 9 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 9 months ago
Cross channel optimized marketing by reinforcement learning
Naoki Abe, Naval K. Verma, Chidanand Apté, ...
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
14 years 9 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...
KDD
2004
ACM
314views Data Mining» more  KDD 2004»
14 years 9 months ago
Assessment of discretization techniques for relevant pattern discovery from gene expression data
In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
Ruggero G. Pensa, Claire Leschi, Jéré...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 9 months ago
Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps
Keith Marsolo, Hui Yang, Srinivasan Parthasarathy,...
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 9 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo