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TNN
2010
234views Management» more  TNN 2010»
13 years 1 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
ERSHOV
1989
Springer
13 years 10 months ago
Experiments with Implementations of Two Theoretical Constructions
This paper reports two experiments with implementations of constructions from theoretical computer science. The first one deals with Kleene’s and Rogers’ second recursion the...
Torben Amtoft Hansen, Thomas Nikolajsen, Jesper La...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 10 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
APSEC
2001
IEEE
13 years 10 months ago
Orchestrating Computations on the World-Wide Web
Word processing software, email, and spreadsheet have revolutionized office activities. There are many other office tasks that are amenable to automation, such as: scheduling a vi...
Jayadev Misra, Harrick M. Vin
GLVLSI
2007
IEEE
158views VLSI» more  GLVLSI 2007»
13 years 8 months ago
RT-level vector selection for realistic peak power simulation
We present a vector selection methodology for estimating the peak power dissipation in a CMOS logic circuit. The ultimate goal is to combine the speed of RT-level simulation with ...
Chia-Chien Weng, Ching-Shang Yang, Shi-Yu Huang