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» Using model knowledge for learning inverse dynamics
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COLT
2010
Springer
15 years 1 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
144
Voted
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 5 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
ICIP
2008
IEEE
16 years 5 months ago
A model for image patch-based algorithms
An empirical study of the domain of patch-based learning algorithms for image and video processing is conducted. As patch-based algorithms are commonly used, knowledge of the prop...
Karl S. Ni, Truong Q. Nguyen
UAI
2007
15 years 4 months ago
Indirectly Visible Bayesian Student Models
Inspectable Bayesian student models have been used to support student reflection, knowledge awareness and communication among teacher, students and parents. This paper presents a...
Juan-Diego Zapata-Rivera
155
Voted
EUROCOLT
1999
Springer
15 years 7 months ago
Learning Range Restricted Horn Expressions
We study the learnability of first order Horn expressions from equivalence and membership queries. We show that the class of expressions where every term in the consequent of a c...
Roni Khardon