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TNN
2010
174views Management» more  TNN 2010»
13 years 2 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
AAAI
2006
13 years 9 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
ICML
2007
IEEE
14 years 8 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
AC
2003
Springer
14 years 24 days ago
Synthesis of Asynchronous Hardware from Petri Nets
Abstract. As semiconductor technology strides towards billions of transistors on a single die, problems concerned with deep sub-micron process features and design productivity call...
Josep Carmona, Jordi Cortadella, Victor Khomenko, ...
SAGT
2009
Springer
102views Game Theory» more  SAGT 2009»
14 years 2 months ago
Free-Riding and Free-Labor in Combinatorial Agency
Abstract. This paper studies a setting where a principal needs to motivate teams of agents whose efforts lead to an outcome that stochastically depends on the combination of agent...
Moshe Babaioff, Michal Feldman, Noam Nisan