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» An ICA algorithm for analyzing multiple data sets
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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
13 years 10 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
DATE
2002
IEEE
135views Hardware» more  DATE 2002»
14 years 2 months ago
Reducing Test Application Time Through Test Data Mutation Encoding
In this paper we propose a new compression algorithm geared to reduce the time needed to test scan-based designs. Our scheme compresses the test vector set by encoding the bits th...
Sherief Reda, Alex Orailoglu
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
14 years 3 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
COLT
2001
Springer
14 years 1 months ago
Ultraconservative Online Algorithms for Multiclass Problems
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Koby Crammer, Yoram Singer
ATAL
2006
Springer
14 years 1 months ago
Predicting people's bidding behavior in negotiation
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
Ya'akov Gal, Avi Pfeffer