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» Prediction Horizons in Agent Models
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AAAI
2008
14 years 6 days ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
AAAI
2010
13 years 8 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen
AAAI
2011
12 years 10 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
CONTEXT
2007
Springer
14 years 4 months ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
CCE
2005
13 years 9 months ago
Modeling a hollow micro-particle production process
The process to be modeled produces micro-hollow particles based on spray drying technology. This process involves droplet formation, solvent(s) evaporation, formation of the imper...
V. S. Shabde, S. V. Emets, U. Mann, K. A. Hoo, N. ...