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ICML
2010
IEEE
15 years 7 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
CORR
2010
Springer
116views Education» more  CORR 2010»
15 years 1 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
JMLR
2010
112views more  JMLR 2010»
15 years 24 days ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
IPPS
2005
IEEE
15 years 11 months ago
Towards Quantitative Analysis of Real-Time UML Using Stochastic Petri Nets
In recent years the Unified Modeling Language (UML) including its profiles gained increasing acceptance as a specification language for modeling real-time systems. It is crucia...
Jan Trowitzsch, Armin Zimmermann, Günter Homm...
WSC
2008
15 years 8 months ago
Simulation analysis of cluster tool operations in wafer fabrication
Cluster tools have been one of the proposed alternatives to improve operations performance in semiconductor fabrication. The benefits include high yield throughput, less contamina...
Amit Kumar Gupta, Peter Lendermann, Appa Iyer Siva...