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91
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TNN
2010
173views Management» more  TNN 2010»
14 years 7 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
124
Voted
CLEF
2011
Springer
14 years 14 days ago
Detecting Wikipedia Vandalism using Machine Learning - Notebook for PAN at CLEF 2011
Wikipedia vandalism identification is a very complex issue, which is now mostly solved manually by volunteers. This paper presents the main components of a system built by our grou...
Cristian-Alexandru Dragusanu, Marina Cufliuc, Adri...
84
Voted
CCA
2009
Springer
15 years 7 months ago
Relativizations of the P =? DNP Question for the BSS Model
We consider the uniform BSS model of computation where the machines can perform additions, multiplications, and tests of the form x ≥ 0. The oracle machines can also check whethe...
Christine Gaßner
77
Voted
ICRA
2009
IEEE
140views Robotics» more  ICRA 2009»
15 years 7 months ago
Remote haptic feedback from a dynamic running machine
— In this paper we present our efforts to design a system for feeding back useful haptic information from a highly dynamic running robot to a remote operator using a haptic devic...
Hanns Tappeiner, Sarjoun Skaff, Tomas Szabo, Ralph...
78
Voted
NIPS
2007
15 years 2 months ago
Bundle Methods for Machine Learning
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le