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» Randomized Algorithms and Complexity Theory
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ESOP
2011
Springer
14 years 10 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
ICFP
2008
ACM
16 years 6 months ago
From ML to MLF: graphic type constraints with efficient type inference
MLF is a type system that seamlessly merges ML-style type inference with System-F polymorphism. We propose a system of graphic (type) constraints that can be used to perform type ...
Boris Yakobowski, Didier Rémy
AAMAS
2007
Springer
16 years 19 days ago
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
INFOCOM
2006
IEEE
16 years 14 days ago
A Statistical Framework for Intrusion Detection in Ad Hoc Networks
— We focus on detecting intrusions in ad hoc networks using the misuse detection technique. We allow for detection modules that periodically fail to detect attacks and also gener...
Dhanant Subhadrabandhu, Saswati Sarkar, Farooq Anj...
SAC
2004
ACM
15 years 12 months ago
A decision-theoretic approach for designing proactive communication in multi-agent teamwork
Techniques that support effective communication during teamwork processes are of particular importance. Psychological study shows that an effective team often can anticipate infor...
Yu Zhang, Richard A. Volz, Thomas R. Ioerger, John...