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» Machine learning problems from optimization perspective
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135
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ICML
2009
IEEE
16 years 3 months ago
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
Manik Varma, Bodla Rakesh Babu
121
Voted
ICML
2009
IEEE
16 years 3 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
CVPR
2005
IEEE
16 years 4 months ago
A Unified Optimization Based Learning Method for Image Retrieval
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying M...
106
Voted
NIPS
2001
15 years 4 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
92
Voted
ACMDIS
2000
ACM
15 years 7 months ago
The Social Life of Engineering Authorizations
We may view documents, not only as “containers” for information, but also as active participants in organizing and sustaining communities. This paper discusses our experiences...
William A. Stubblefield, Karen S. Rogers