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» Machine learning problems from optimization perspective
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TNN
2010
234views Management» more  TNN 2010»
14 years 7 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
124
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 11 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
197
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ICFP
2009
ACM
16 years 1 months ago
Partial memoization of concurrency and communication
Memoization is a well-known optimization technique used to eliminate redundant calls for pure functions. If a call to a function f with argument v yields result r, a subsequent ca...
Lukasz Ziarek, K. C. Sivaramakrishnan, Suresh Jaga...
129
Voted
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 1 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
117
Voted
CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 11 months ago
Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
Fangwen Fu, Mihaela van der Schaar