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NIPS
1992
13 years 10 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
BMCBI
2010
150views more  BMCBI 2010»
13 years 9 months ago
Systematic calibration of a cell signaling network model
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
Kyoung Ae Kim, Sabrina L. Spencer, John G. Albeck,...
IJCNN
2007
IEEE
14 years 4 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
HICSS
2003
IEEE
119views Biometrics» more  HICSS 2003»
14 years 3 months ago
Modeling and Analyzing Communications Infrastructure A Case Study of an International Organization
EnCompass®1 , a web-enabled system for organizational process visualization, analysis, synthesis, and management, provides an interactive vehicle for understanding the influence ...
Michael M. Mann, Ericka Hansen Bryant
EMNLP
2004
13 years 11 months ago
Instance-Based Question Answering: A Data-Driven Approach
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
Lucian Vlad Lita, Jaime G. Carbonell