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» Combinations of Weak Classifiers
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PR
2010
79views more  PR 2010»
15 years 29 days ago
Information theoretic combination of pattern classifiers
Julien Meynet, Jean-Philippe Thiran
105
Voted
SIGSOFT
2010
ACM
15 years 13 days ago
Combining hardware and software instrumentation to classify program executions
Several research efforts have studied ways to infer properties of software systems from program spectra gathered from the running systems, usually with software-level instrumentat...
Cemal Yilmaz, Adam A. Porter
141
Voted
ICML
2004
IEEE
16 years 3 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
FOSSACS
2005
Springer
15 years 8 months ago
Axiomatizations for Probabilistic Finite-State Behaviors
Abstract. We study a process calculus which combines both nondeterministic and probabilistic behavior in the style of Segala and Lynch’s probabilistic automata. We consider vario...
Yuxin Deng, Catuscia Palamidessi
116
Voted
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 3 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee