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WSC
2001
14 years 11 months ago
Modeling risk in the dynamic environment of maritime transportation
The Washington State Ferries are one of the largest ferry systems in the world. Accidents involving Washington State Ferries are rare events. However, low probability, high conseq...
Jason R. W. Merrick, J. René van Dorp, Thom...
NAACL
2004
14 years 11 months ago
Inferring Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations, which relies on a simple probabilistic model and assumes no manual coding. W...
Mirella Lapata, Alex Lascarides
AI
1998
Springer
15 years 2 months ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih
AUSAI
2006
Springer
15 years 1 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh