ACL
1996
13 years 5 months ago
1996
We use a statistical method to select the most probable structure or parse for a given sentence. It takes as input the dependency structures generated for the sentence by a depend...
ACL
1993
13 years 5 months ago
1993
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence within a limited context. This paper discusses ho...
NIPS
2000
13 years 5 months ago
2000
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
NIPS
2003
13 years 5 months ago
2003
We discuss an idea for collecting data in a relatively efficient manner. Our point of view is Bayesian and information-theoretic: on any given trial, we want to adaptively choose...
NIPS
2003
13 years 5 months ago
2003
The maximisation of information transmission over noisy channels is a common, albeit generally computationally difficult problem. We approach the difficulty of computing the mutua...
NIPS
2001
13 years 5 months ago
2001
Mutual information is widely used, in a descriptive way, to measure the stochastic dependence of categorical random variables. In order to address questions such as the reliabilit...
ESANN
2006
13 years 6 months ago
2006
Mutual information may be used to select the embedding lag of a time series. However, this lag selection is usually limited to the analysis of the mutual information between a pair...
GEOINFO
2004
13 years 6 months ago
2004
: This work is on development of a method for automatic registration of satellite images acquired on different dates, for both geometric and radiometric correction with respect to ...
CARS
2004
13 years 6 months ago
2004
Combining CT
NIPS
2008
13 years 6 months ago
2008
In this paper we introduce the MeanNN approach for estimation of main information theoretic measures such as differential entropy, mutual information and divergence. As opposed to...