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119
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NIPS
2007
15 years 2 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
111
Voted
SODA
2000
ACM
114views Algorithms» more  SODA 2000»
15 years 2 months ago
Typical random 3-SAT formulae and the satisfiability threshold
: k-SAT is one of the best known among a wide class of random constraint satisfaction problems believed to exhibit a threshold phenomenon where the control parameter is the ratio, ...
Olivier Dubois, Yacine Boufkhad, Jacques Mandler
77
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BIOINFORMATICS
2010
94views more  BIOINFORMATICS 2010»
15 years 1 months ago
Globally, unrelated protein sequences appear random
Motivation: To test whether protein folding constraints and secondary structure sequence preferences significantly reduce the space of amino acid words in proteins, we compared th...
Daniel T. Lavelle, William R. Pearson
117
Voted
ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 1 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
104
Voted
RSA
2002
69views more  RSA 2002»
15 years 23 days ago
On the covariance of the level sizes in random recursive trees
In this paper we study the covariance structure of the number of nodes k and l steps away from the root in random recursive trees. We give an analytic expression valid for all k, ...
Remco van der Hofstad, Gerard Hooghiemstra, Piet V...