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JCB
2002
108views more  JCB 2002»
13 years 8 months ago
Fast and Accurate Phylogeny Reconstruction Algorithms Based on the Minimum-Evolution Principle
This paper investigates the standard ordinary least-squares version 24 and the balanced version 20 of the minimum evolution principle. For the standard version, we provide a greedy...
Richard Desper, Olivier Gascuel
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 14 days ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
NIPS
2007
13 years 10 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...
FOCS
2007
IEEE
14 years 2 months ago
Reconstruction for Models on Random Graphs
Consider a collection of random variables attached to the vertices of a graph. The reconstruction problem requires to estimate one of them given ‘far away’ observations. Sever...
Antoine Gerschenfeld, Andrea Montanari
AAAI
1996
13 years 10 months ago
Forward Estimation for Game-Tree Search
It is known that bounds on the minimax values of nodes in a game tree can be used to reduce the computational complexity of minimax search for two-player games. We describe a very...
Weixiong Zhang