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» On Learning with Integral Operators
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UAI
2000
13 years 10 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
ICC
2007
IEEE
14 years 3 months ago
iOPEN Network: Operation Mechanisms and Experimental Study
Integrated OPtical EtherNet (iOPEN) network was earlier proposed as an integrated Ethernet and reconfigurable WDM network, which supports Ethernet transport services in campus area...
Luying Zhou, Xu Shao, Teck Yoong Chai, Chava Vijay...
KDD
2002
ACM
93views Data Mining» more  KDD 2002»
14 years 9 months ago
Interactive deduplication using active learning
Deduplication is a key operation in integrating data from multiple sources. The main challenge in this task is designing a function that can resolve when a pair of records refer t...
Sunita Sarawagi, Anuradha Bhamidipaty
AAAI
2012
11 years 11 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala