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ICML
2007
IEEE
16 years 8 months ago
Sample compression bounds for decision trees
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
Mohak Shah
ICML
2003
IEEE
16 years 8 months ago
Multi-Objective Programming in SVMs
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
Jinbo Bi
WWW
2009
ACM
16 years 8 months ago
Visualization of Geo-annotated pictures in mobile phones
In this work, a novel mobile browser for geo-referenced pictures is introduced and described. We use the term browser to denote a system aimed at browsing pictures selected from a...
Roberto Manca, Francesco Massidda, Davide Carboni
ICASSP
2009
IEEE
16 years 2 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
IPPS
2009
IEEE
16 years 2 months ago
A scalable auto-tuning framework for compiler optimization
We describe a scalable and general-purpose framework for auto-tuning compiler-generated code. We combine Active Harmony’s parallel search backend with the CHiLL compiler transfo...
Ananta Tiwari, Chun Chen, Jacqueline Chame, Mary W...