Sciweavers

1248 search results - page 157 / 250
» Comparable Entity Mining from Comparative Questions
Sort
View
115
Voted
AAAI
1996
15 years 4 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
CIKM
2010
Springer
15 years 2 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 1 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 1 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
160
Voted
PKDD
2010
Springer
194views Data Mining» more  PKDD 2010»
15 years 1 months ago
Weighted Symbols-Based Edit Distance for String-Structured Image Classification
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
Cécile Barat, Christophe Ducottet, É...