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SSDBM
1996
IEEE
168views Database» more  SSDBM 1996»
15 years 5 months ago
Data Mining: Machine Learning, Statistics, and Databases
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We give an overview of the area and present someof the research is...
Heikki Mannila
ICANN
2007
Springer
15 years 7 months ago
A Two-Layer ICA-Like Model Estimated by Score Matching
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
Urs Köster, Aapo Hyvärinen
CANDC
2002
ACM
15 years 1 months ago
Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
Robert Burbidge, Matthew W. B. Trotter, Bernard F....
KDD
1995
ACM
95views Data Mining» more  KDD 1995»
15 years 5 months ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
ICML
2008
IEEE
16 years 2 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...