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ALT
2004
Springer
15 years 1 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
ICML
2005
IEEE
15 years 10 months ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
TACAS
2007
Springer
131views Algorithms» more  TACAS 2007»
15 years 3 months ago
From Time Petri Nets to Timed Automata: An Untimed Approach
Abstract. Time Petri Nets (TPN) and Timed Automata (TA) are widely-used formalisms for the modeling and analysis of timed systems. A recently-developed approach for the analysis of...
Davide D'Aprile, Susanna Donatelli, Arnaud Sangnie...
ICML
2004
IEEE
15 years 10 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
15 years 10 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...