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LICS
2005
IEEE
15 years 7 months ago
Generalizing Parametricity Using Information-flow
Run-time type analysis allows programmers to easily and concisely define operations based upon type structure, such as serialization, iterators, and structural equality. However,...
Geoffrey Washburn, Stephanie Weirich
ATAL
2007
Springer
15 years 6 months ago
On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
David Wingate, Satinder P. Singh
JCDL
2005
ACM
100views Education» more  JCDL 2005»
15 years 7 months ago
Automatic extraction of titles from general documents using machine learning
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...
SIGIR
2008
ACM
15 years 1 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
VIS
2007
IEEE
235views Visualization» more  VIS 2007»
16 years 3 months ago
Efficient Surface Reconstruction using Generalized Coulomb Potentials
We propose a novel, geometrically adaptive method for surface reconstruction from noisy and sparse point clouds, without orientation information. The method employs a fast convecti...
Andrei C. Jalba, Jos B. T. M. Roerdink