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» Learning a Hidden Subgraph
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HT
2007
ACM
13 years 10 months ago
Revealing the hidden rationality of user browsing behaviour
In this paper, we analyse web log data from user trials of the WHURLE-LS adaptive educational hypermedia (AEH) system from a behavioural perspective. This system allows users to s...
Elizabeth J. Brown, Tim J. Brailsford, Tony Fisher...
NIPS
2004
13 years 10 months ago
Semi-supervised Learning on Directed Graphs
Given a directed graph in which some of the nodes are labeled, we investigate the question of how to exploit the link structure of the graph to infer the labels of the remaining u...
Dengyong Zhou, Bernhard Schölkopf, Thomas Hof...
ECAI
2006
Springer
14 years 11 days ago
Polynomial Conditional Random Fields for Signal Processing
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
Trinh Minh Tri Do, Thierry Artières
NIPS
1994
13 years 10 months ago
An Input Output HMM Architecture
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
Yoshua Bengio, Paolo Frasconi
ESSMAC
2003
Springer
14 years 1 months ago
Simultaneous Localization and Surveying with Multiple Agents
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
Sam T. Roweis, Ruslan Salakhutdinov