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ICML
2010
IEEE
13 years 8 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
ICGI
1994
Springer
13 years 11 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro
WSC
2004
13 years 9 months ago
Foundations of Validating Reusable Behavioral Models in Engineering Design Problems
We present a conceptual framework for validating reusable behavioral models. The setting for this work is a modern product development environment in which design is performed by ...
Richard J. Malak, Christiaan J. J. Paredis
WSC
1998
13 years 9 months ago
GMSim: A Tool for Compositional GSMP Modeling
The development of a discrete-event simulation tool, called GMSim, based on the generalized semi-Markov process (GSMP) formalism is described. The GSMP representation comprises bo...
Frode B. Nilson
SIGGRAPH
1996
ACM
13 years 12 months ago
Visual Models of Plants Interacting with Their Environment
Interaction with the environment is a key factor affecting the development of plants and plant ecosystems. In this paper we introduce a modeling framework that makes it possible t...
Radomír Mech, Przemyslaw Prusinkiewicz