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» Using DNA to solve the Bounded Post Correspondence Problem
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UAI
2004
13 years 8 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
WSCG
2004
166views more  WSCG 2004»
13 years 8 months ago
Non-evaluated Manipulation of Complex CSG Solids
One of the most important problems to solve in Solid Modeling is computing boolean operations for solids (union, intersection and difference). In this paper we present a method to...
Rafael Jesús Segura, Francisco R. Feito, Ju...
CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
14 years 1 months ago
A proximal center-based decomposition method for multi-agent convex optimization
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Ion Necoara, Johan A. K. Suykens
STOC
2004
ACM
94views Algorithms» more  STOC 2004»
14 years 7 months ago
Sublinear algorithms for testing monotone and unimodal distributions
The complexity of testing properties of monotone and unimodal distributions, when given access only to samples of the distribution, is investigated. Two kinds of sublineartime alg...
Tugkan Batu, Ravi Kumar, Ronitt Rubinfeld
ALMOB
2006
135views more  ALMOB 2006»
13 years 7 months ago
P-value based visualization of codon usage data
Two important and not yet solved problems in bacterial genome research are the identification of horizontally transferred genes and the prediction of gene expression levels. Both ...
Peter Meinicke, Thomas Brodag, Wolfgang Florian Fr...