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» On the Convergence of Bound Optimization Algorithms
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CCCG
2007
13 years 10 months ago
On a Geometric Approach to the Segment Sum Problem and Its Generalization
Given a sequence of n real numbers a1, a2, a3, . . . , an, the maximum segment sum problem is that of determining indices i and j (1 ≤ i ≤ j ≤ n) such that the sum s(i, j) =...
Asish Mukhopadhyay, Eugene Greene
UAI
2004
13 years 10 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
CORR
2010
Springer
88views Education» more  CORR 2010»
13 years 9 months ago
Grothendieck inequalities for semidefinite programs with rank constraint
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the ...
Jop Briët, Fernando Mário de Oliveira ...
IEICET
2006
55views more  IEICET 2006»
13 years 8 months ago
Inserting Points Uniformly at Every Instance
A problem of arranging n points as uniformly as possible, which is equivalent to that of packing n equal and non-overlapping circles in a unit square, is frequently asked. In this ...
Sachio Teramoto, Tetsuo Asano, Naoki Katoh, Benjam...
ORL
2008
99views more  ORL 2008»
13 years 8 months ago
Some tractable instances of interval data minmax regret problems
This paper focuses on tractable instances of interval data minmax regret graph problems. More precisely, we provide polynomial and pseudopolynomial algorithms for sets of particul...
Bruno Escoffier, Jérôme Monnot, Olivi...