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TCBB
2010
166views more  TCBB 2010»
15 years 4 months ago
Approximate Maximum Parsimony and Ancestral Maximum Likelihood
— We explore the maximum parsimony (MP) and ancestral maximum likelihood (AML) criteria in phylogenetic tree reconstruction. Both problems are NP hard, so we seek approximate sol...
Noga Alon, Benny Chor, Fabio Pardi, Anat Rapoport
NIPS
2008
15 years 7 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
LATIN
2000
Springer
15 years 10 months ago
Worst-Case Complexity of the Optimal LLL Algorithm
In this paper, we consider the open problem of the complexity of the LLL algorithm in the case when the approximation parameter of the algorithm has its extreme value
Ali Akhavi
CVPR
2012
IEEE
13 years 9 months ago
A fast nearest neighbor search algorithm by nonlinear embedding
We propose an efficient algorithm to find the exact nearest neighbor based on the Euclidean distance for largescale computer vision problems. We embed data points nonlinearly on...
Yoonho Hwang, Bohyung Han, Hee-Kap Ahn
ISAAC
2005
Springer
90views Algorithms» more  ISAAC 2005»
15 years 12 months ago
Approximate Colored Range Queries
In this paper, we formulate a class of colored range query problems to model the multi-dimensional range queries in the presence of categorical information. By applying appropriate...
Ying Kit Lai, Chung Keung Poon, Benyun Shi