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UAI
2000
15 years 1 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
NIPS
1997
15 years 1 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
PPSC
1993
15 years 1 months ago
A Matrix Framework for Conjugate Gradient Methods and Some Variants of CG with Less Synchronization Overhead
We will present a matrix framework for the conjugate gradient methods, which is expressed in terms of whole vector sequences instead of single vectors or initial parts of sequence...
Eduardo F. D'Azevedo, Victor Eijkhout, Charles H. ...
COLING
1992
15 years 1 months ago
Generating Coherent Argumentative Paragraphs
Q Should I take AI this semester? We address the problem of generating a coherent A If you want to take courses likeparagraph presenting arguments for a conclusion in a Natural La...
Michael Elhadad
IJCAI
1989
15 years 1 months ago
An Approximate Solver for Symbolic Equations
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
Elisha Sacks