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» Solving the Small Sample Size Problem of LDA
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STOC
1995
ACM
145views Algorithms» more  STOC 1995»
13 years 11 months ago
Polynomial time approximation schemes for dense instances of NP-hard problems
We present a unified framework for designing polynomial time approximation schemes (PTASs) for “dense” instances of many NP-hard optimization problems, including maximum cut,...
Sanjeev Arora, David R. Karger, Marek Karpinski
ICALP
2005
Springer
14 years 1 months ago
Linear Time Algorithms for Clustering Problems in Any Dimensions
Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
Amit Kumar, Yogish Sabharwal, Sandeep Sen
SOFSEM
2010
Springer
13 years 5 months ago
Approximate Structural Consistency
Abstract. We consider documents as words and trees on some alphabet and study how to compare them with some regular schemas on an alphabet . Given an input document I, we decide ...
Michel de Rougemont, Adrien Vieilleribière
UAI
2004
13 years 9 months ago
On Modeling Profiles Instead of Values
We consider the problem of estimating the distribution underlying an observed sample of data. Instead of maximum likelihood, which maximizes the probability of the observed values...
Alon Orlitsky, Narayana P. Santhanam, Krishnamurth...
BMCBI
2010
116views more  BMCBI 2010»
13 years 7 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel