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ICML
2007
IEEE
16 years 5 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
ICML
2007
IEEE
16 years 5 months ago
Manifold-adaptive dimension estimation
Intuitively, learning should be easier when the data points lie on a low-dimensional submanifold of the input space. Recently there has been a growing interest in algorithms that ...
Amir Massoud Farahmand, Csaba Szepesvári, J...
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
16 years 5 months ago
Rule extraction from linear support vector machines
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao
CVPR
2010
IEEE
16 years 1 months ago
Fast Globally Optimal 2D Human Detection with Loopy Graph Models
This paper presents an algorithm for recovering the globally optimal 2D human figure detection using a loopy graph model. This is computationally challenging because the time comp...
Tai-Peng Tian, Stan Sclaroff
EVOW
2009
Springer
15 years 11 months ago
Swarm Intelligence Inspired Multicast Routing: An Ant Colony Optimization Approach
Abstract. The advancement of network induces great demands on a series of applications such as the multicast routing. This paper firstly makes a brief review on the algorithms in ...
Xiaomin Hu, Jun Zhang, Li-Ming Zhang