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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 5 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
ICTAI
2006
IEEE
15 years 10 months ago
Sequence Mining Without Sequences: A New Way for Privacy Preserving
During the last decade, sequential pattern mining has been the core of numerous researches. It is now possible to efficiently discover users’ behavior in various domains such a...
Stéphanie Jacquemont, François Jacqu...
DATE
2003
IEEE
109views Hardware» more  DATE 2003»
15 years 9 months ago
A New Algorithm for Energy-Driven Data Compression in VLIW Embedded Processors
This paper presents a new algorithm for on-the-fly data compression in high performance VLIW processors. The algorithm aggressively targets energy minimization of some of the domi...
Alberto Macii, Enrico Macii, Fabrizio Crudo, Rober...
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
15 years 9 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 8 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro