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» On the Generalization Ability of On-Line Learning Algorithms
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JMLR
2010
179views more  JMLR 2010»
14 years 4 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
MOBISYS
2010
ACM
14 years 12 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
IPMI
2003
Springer
15 years 10 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...
ECCV
2008
Springer
15 years 11 months ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...