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» On learning with dissimilarity functions
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BMCBI
2004
141views more  BMCBI 2004»
13 years 7 months ago
Estimates of statistical significance for comparison of individual positions in multiple sequence alignments
Background: Profile-based analysis of multiple sequence alignments (MSA) allows for accurate comparison of protein families. Here, we address the problems of detecting statistical...
Ruslan Sadreyev, Nick V. Grishin
PR
2006
152views more  PR 2006»
13 years 7 months ago
Edit distance-based kernel functions for structural pattern classification
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
Michel Neuhaus, Horst Bunke
ICML
2007
IEEE
14 years 8 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
EMMCVPR
2001
Springer
14 years 12 days ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...
ISMVL
1997
IEEE
134views Hardware» more  ISMVL 1997»
14 years 3 days ago
Functional Decomposition of MVL Functions Using Multi-Valued Decision Diagrams
In this paper, the minimization of incompletely specified multi-valued functions using functional decomposition is discussed. From the aspect of machine learning, learning sample...
Craig M. Files, Rolf Drechsler, Marek A. Perkowski