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TIT
2002
164views more  TIT 2002»
15 years 3 months ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
ALT
1999
Springer
15 years 8 months ago
Extended Stochastic Complexity and Minimax Relative Loss Analysis
We are concerned with the problem of sequential prediction using a givenhypothesis class of continuously-manyprediction strategies. An e ectiveperformance measure is the minimax re...
Kenji Yamanishi
IJCV
2006
112views more  IJCV 2006»
15 years 4 months ago
Non-Single Viewpoint Catadioptric Cameras: Geometry and Analysis
Conventional vision systems and algorithms assume the imaging system to have a single viewpoint. However, these imaging systems need not always maintain a single viewpoint. For ins...
Rahul Swaminathan, Michael D. Grossberg, Shree K. ...
MICCAI
2010
Springer
15 years 2 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
VMCAI
2009
Springer
15 years 11 months ago
LTL Generalized Model Checking Revisited
Given a 3-valued abstraction of a program (possibly generated using rogram analysis and predicate abstraction) and a temporal logic formula, generalized model checking (GMC) checks...
Patrice Godefroid, Nir Piterman