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» On the Distribution of Natural Probability Functions
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NIPS
2003
15 years 5 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
EMNLP
2009
15 years 2 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
IJCAI
2007
15 years 5 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
CORR
2007
Springer
112views Education» more  CORR 2007»
15 years 4 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
ICDCS
2010
IEEE
15 years 8 months ago
Empirical Study of a National-Scale Distributed Intrusion Detection System: Backbone-Level Filtering of HTML Responses in China
Abstract—We present results from measurements of the filtering of HTTP HTML responses in China, which is based on string matching and TCP reset injection by backbone-level route...
Jong Chun Park, Jedidiah R. Crandall