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» Computational Techniques for Modelling Learning in Economics
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FASE
2011
Springer
14 years 3 months ago
Automated Learning of Probabilistic Assumptions for Compositional Reasoning
Probabilistic verification techniques have been applied to the formal modelling and analysis of a wide range of systems, from communication protocols such as Bluetooth, to nanosca...
Lu Feng, Marta Z. Kwiatkowska, David Parker
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 days ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
ECCV
2006
Springer
16 years 1 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
RAID
2000
Springer
15 years 3 months ago
Adaptive, Model-Based Monitoring for Cyber Attack Detection
Inference methods for detecting attacks on information resources typically use signature analysis or statistical anomaly detection methods. The former have the advantage of attack...
Alfonso Valdes, Keith Skinner
ATAL
2008
Springer
15 years 1 months ago
GS3 and Tartanian: game theory-based heads-up limit and no-limit Texas Hold'em poker-playing programs
We demonstrate two game theory-based programs for headsup limit and no-limit Texas Hold'em poker. The first player, GS3, is designed for playing limit Texas Hold'em, in ...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...