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CORR
2006
Springer
160views Education» more  CORR 2006»
13 years 8 months ago
On Conditional Branches in Optimal Search Trees
A commonly used type of search tree is the alphabetic binary tree, which uses (without loss of generality) "less than" versus "greater than or equal to" tests ...
Michael B. Baer
CORR
2006
Springer
143views Education» more  CORR 2006»
13 years 8 months ago
Revealing the Autonomous System Taxonomy: The Machine Learning Approach
Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can repre...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, G...
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 8 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany
CORR
2006
Springer
140views Education» more  CORR 2006»
13 years 8 months ago
Nearly optimal exploration-exploitation decision thresholds
While in general trading off exploration and exploitation in reinforcement learning is hard, under some formulations relatively simple solutions exist. Optimal decision thresholds ...
Christos Dimitrakakis
CORR
2006
Springer
71views Education» more  CORR 2006»
13 years 8 months ago
On the Complexity of Limit Sets of Cellular Automata Associated with Probability Measures
Laurent Boyer, Victor Poupet, Guillaume Theyssier
CORR
2006
Springer
93views Education» more  CORR 2006»
13 years 8 months ago
Sparse Matrix Implementation in Octave
David Bateman, Andy Adler
CORR
2006
Springer
102views Education» more  CORR 2006»
13 years 8 months ago
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
Fabrice Rossi, Brieuc Conan-Guez
CORR
2006
Springer
93views Education» more  CORR 2006»
13 years 8 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...