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140
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NIPS
2008
15 years 2 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
69
Voted
WSC
2000
15 years 2 months ago
Using agent-based modeling to capture airpower strategic effects
Airpower's strength lies in quickly striking the enemy directly where they are vulnerable while being unhampered by geography and surface forces. Airpower theory suggests the...
Richard K. Bullock, Gregory A. McIntyre, Raymond R...
93
Voted
JUCS
2007
96views more  JUCS 2007»
15 years 21 days ago
Constant Size Ciphertext HIBE in the Augmented Selective-ID Model and its Extensions
At Eurocrypt 2005, Boneh, Boyen and Goh presented a constant size ciphertext hierarchical identity based encryption (HIBE) protocol. Our main contribution is to present a variant ...
Sanjit Chatterjee, Palash Sarkar
120
Voted
IVC
2002
148views more  IVC 2002»
15 years 15 days ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
109
Voted
BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 7 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira