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» Requirements for Machine Lifelong Learning
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ICML
2007
IEEE
16 years 4 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...
147
Voted
ICML
2008
IEEE
16 years 4 months ago
A reproducing kernel Hilbert space framework for pairwise time series distances
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...
Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz ...
ICML
2004
IEEE
16 years 4 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik
147
Voted
ECML
2006
Springer
15 years 5 months ago
Distributional Features for Text Categorization
Abstract-- Text categorization is the task of assigning predefined categories to natural language text. With the widely used `bag of words' representation, previous researches...
Xiao-Bing Xue, Zhi-Hua Zhou
99
Voted
COLT
2008
Springer
15 years 5 months ago
An Efficient Reduction of Ranking to Classification
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
Nir Ailon, Mehryar Mohri