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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 10 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
ALGORITHMICA
2006
163views more  ALGORITHMICA 2006»
13 years 10 months ago
Building Large Phylogenetic Trees on Coarse-Grained Parallel Machines
Phylogenetic analysis is an area of computational biology concerned with the reconstruction of evolutionary relationships between organisms, genes, and gene families. Maximum likel...
Thomas M. Keane, Andrew J. Page, Thomas J. Naughto...
ALGORITHMICA
2006
77views more  ALGORITHMICA 2006»
13 years 10 months ago
Scalable Parallel Algorithms for FPT Problems
Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems o...
Faisal N. Abu-Khzam, Michael A. Langston, Pushkar ...
ALGORITHMICA
2006
94views more  ALGORITHMICA 2006»
13 years 10 months ago
Efficient Algorithms for k Maximum Sums
We study the problem of computing the k maximum sum subsequences. Given a sequence of real numbers x1, x2, . . . , xn and an integer parameter k, 1 k 1 2 n(n - 1), the problem in...
Fredrik Bengtsson, Jingsen Chen
ALGORITHMICA
2006
174views more  ALGORITHMICA 2006»
13 years 10 months ago
Profiles of Random Trees: Limit Theorems for Random Recursive Trees and Binary Search Trees
We prove convergence in distribution for the profile (the number of nodes at each level), normalized by its mean, of random recursive trees when the limit ratio of the level and ...
Michael Fuchs, Hsien-Kuei Hwang, Ralph Neininger