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» Learning a Generative Model for Structural Representations
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TNN
1998
100views more  TNN 1998»
13 years 8 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
SMA
1997
ACM
152views Solid Modeling» more  SMA 1997»
14 years 29 days ago
Structured Topological Complexes: A Feature-Based API for Non-Manifold Topologies
Much of recent research in representation schemes for solid modeling was focused on the extension of boundary representations to support non-manifold topologies. We introduce here...
Jarek Rossignac
ACL
2004
13 years 10 months ago
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
Dan Klein, Christopher D. Manning
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 9 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
AAAI
2004
13 years 10 months ago
VModel: A Visual Qualitative Modeling Environment for Middle-School Students
Learning how to create, test, and revise models is a central skill in scientific reasoning. We argue that qualitative modeling provides an appropriate level of representation for ...
Kenneth D. Forbus, Karen Carney, Bruce L. Sherin, ...