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UAI
2003
15 years 7 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ECIS
2000
15 years 7 months ago
Linking Knowledge Management and Innovation
There has been an explosion of interest in Knowledge Management [KM] theory and practice. However, it is argued here that much of this work fails to consider the purpose for which...
Jacky Swan, Sue Newell
FLAIRS
2000
15 years 7 months ago
Fundamental Properties of the Core Matching Functions for Information Retrieval
Traditional benchmarking methods for information retrieval (IR) are based on experimental performance evaluation. Although the metrics precision and recall can measure the perform...
Dawei Song, Kam-Fai Wong, Peter Bruza, Chun Hung C...
ISMB
2000
15 years 7 months ago
Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization
This paper presents a framework called Parallel Experiment Planning (PEP) that is based on an abstraction of how experiments are performed in the domain of macromolecular crystall...
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M....
NIPS
2000
15 years 7 months ago
Adaptive Object Representation with Hierarchically-Distributed Memory Sites
Theories of object recognition often assume that only one representation scheme is used within one visual-processing pathway. Versatility of the visual system comes from having mu...
Bosco S. Tjan