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IJCAI
2001
15 years 7 months ago
Efficient Interpretation Policies
Many imaging systems seek a good interpretation of the scene presented -- i.e., a plausible (perhaps optimal) mapping from aspects of the scene to real-world objects. This paper a...
Ramana Isukapalli, Russell Greiner
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 6 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 6 months ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 6 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
16 years 6 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