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ICML
2006
IEEE
16 years 3 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ICIP
2009
IEEE
16 years 3 months ago
Affine Alignment Of Compound Objects: A Direct Approach
A direct approach for parametric estimation of 2D affine deformations between compound shapes is proposed. It provides the result as a least-square solution of a linear system of ...
NECO
2000
190views more  NECO 2000»
15 years 2 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
BIBM
2008
IEEE
112views Bioinformatics» more  BIBM 2008»
15 years 8 months ago
Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information
Mapping B-cell epitopes plays an important role in vaccine design, immunodiagnostic tests, and antibody production. Because the experimental determination of B-cell epitopes is ti...
Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar
114
Voted
NIPS
2007
15 years 3 months ago
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
Ambuj Tewari, Peter L. Bartlett