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» Variational Relevance Vector Machines
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ESANN
2008
13 years 9 months ago
Multi-class classification of ovarian tumors
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
TACAS
2010
Springer
146views Algorithms» more  TACAS 2010»
14 years 2 months ago
Ranking Function Synthesis for Bit-Vector Relations
Ranking function synthesis is a key aspect to the success of modern termination provers for imperative programs. While it is wellknown how to generate linear ranking functions for ...
Byron Cook, Daniel Kroening, Philipp Rümmer, ...
ILP
2007
Springer
14 years 1 months ago
A Phase Transition-Based Perspective on Multiple Instance Kernels
: This paper is concerned with relational Support Vector Machines, at the intersection of Support Vector Machines (SVM) and relational learning or Inductive Logic Programming (ILP)...
Romaric Gaudel, Michèle Sebag, Antoine Corn...
ICNC
2005
Springer
14 years 1 months ago
Using SOFM to Improve Web Site Text Content
We introduce a new method to improve web site text content by identifying the most relevant free text in the web pages. In order to understand the variations in web page text, we c...
Sebastián A. Ríos, Juan D. Vel&aacut...
APPROX
2008
Springer
127views Algorithms» more  APPROX 2008»
13 years 9 months ago
Approximating Single Machine Scheduling with Scenarios
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
Monaldo Mastrolilli, Nikolaus Mutsanas, Ola Svenss...