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DSN
2011
IEEE
7 years 10 months ago
Approximate analysis of blocking queueing networks with temporal dependence
—In this paper we extend the class of MAP queueing networks to include blocking models, which are useful to describe the performance of service instances which have a limited con...
Vittoria de Nitto Persone, Giuliano Casale, Evgeni...
TCOM
2010
112views more  TCOM 2010»
8 years 5 months ago
Concise Derivation of Scattering Function from Channel Entropy Maximization
In order to provide a concise time-varying SISO channel model, the principle of maximum entropy is applied to scattering function derivation. The resulting model is driven by few p...
François-Xavier Socheleau, Christophe Laot,...
CORR
2010
Springer
95views Education» more  CORR 2010»
8 years 7 months ago
When are feedforward microcircuits well-modeled by maximum entropy methods?
Describing the collective activity of neural populations is a daunting task: the number of possible patterns grows exponentially with the number of cells, resulting in practically...
Andrea K. Barreiro, Julijana Gjorgjieva, Fred Riek...
KAIS
2008
81views more  KAIS 2008»
8 years 10 months ago
Maximum entropy based significance of itemsets
We consider the problem of defining the significance of an itemset. We say that the itemset is significant if we are surprised by its frequency when compared to the frequencies of ...
Nikolaj Tatti
ICML
2010
IEEE
8 years 11 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey
UAI
2000
8 years 11 months ago
Maximum Entropy and the Glasses You are Looking Through
We give an interpretation of the Maximum Entropy (MaxEnt) Principle in gametheoretic terms. Based on this interpretation, we make a formal distinction between di erent ways of app...
Peter Grünwald
ACL
1998
8 years 11 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev
UAI
2004
8 years 11 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
NIPS
2004
8 years 11 months ago
Mistake Bounds for Maximum Entropy Discrimination
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
Philip M. Long, Xinyu Wu
TRECVID
2008
8 years 11 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
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