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KDD
2002
ACM
130views Data Mining» more  KDD 2002»
16 years 6 months ago
Learning domain-independent string transformation weights for high accuracy object identification
The task of object identification occurs when integrating information from multiple websites. The same data objects can exist in inconsistent text formats across sites, making it ...
Sheila Tejada, Craig A. Knoblock, Steven Minton
RECOMB
2007
Springer
16 years 6 months ago
Learning Gene Regulatory Networks via Globally Regularized Risk Minimization
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...
Yuhong Guo, Dale Schuurmans
WEBDB
2009
Springer
115views Database» more  WEBDB 2009»
16 years 21 days ago
A Machine Learning Approach to Foreign Key Discovery
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...
DMIN
2007
186views Data Mining» more  DMIN 2007»
15 years 7 months ago
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
Gary M. Weiss, Kate McCarthy, Bibi Zabar
147
Voted
NIPS
2003
15 years 7 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan