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BIOSYSTEMS
2008
70views more  BIOSYSTEMS 2008»
13 years 3 months ago
Autonomy: An information theoretic perspective
We present a tentative proposal for a quantitative measure of autonomy. This is something that, surprisingly, seems to be missing from the literature, even though autonomy is cons...
Nils Bertschinger, Eckehard Olbrich, Nihat Ay, J&u...
BMCBI
2010
141views more  BMCBI 2010»
13 years 3 months ago
Computing and visually analyzing mutual information in molecular co-evolution
Background: Selective pressure in molecular evolution leads to uneven distributions of amino acids and nucleotides. In fact one observes correlations among such constituents due t...
Sebastian Bremm, Tobias Schreck, Patrick Boba, Ste...
AUTOMATICA
2010
99views more  AUTOMATICA 2010»
13 years 3 months ago
Continuous trajectory planning of mobile sensors for informative forecasting
This paper addresses planning of continuous paths for mobile sensors to reduce uncertainty in some quantities of interest in the future. The mutual information between the measure...
Han-Lim Choi, Jonathan P. How
ALMOB
2007
155views more  ALMOB 2007»
13 years 3 months ago
Finding coevolving amino acid residues using row and column weighting of mutual information and multi-dimensional amino acid rep
Background: Some amino acid residues functionally interact with each other. This interaction will result in an evolutionary co-variation between these residues – coevolution. Ou...
Rodrigo Gouveia-Oliveira, Anders Gorm Pedersen
MM
2010
ACM
162views Multimedia» more  MM 2010»
13 years 3 months ago
Interactive visual object search through mutual information maximization
Searching for small objects (e.g., logos) in images is a critical yet challenging problem. It becomes more difficult when target objects differ significantly from the query object...
Jingjing Meng, Junsong Yuan, Yuning Jiang, Nitya N...
ICML
2010
IEEE
13 years 3 months ago
Nonparametric Information Theoretic Clustering Algorithm
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Lev Faivishevsky, Jacob Goldberger
GRC
2008
IEEE
13 years 4 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
ICANN
2010
Springer
13 years 4 months ago
On Estimating Mutual Information for Feature Selection
Abstract. Mutual Information (MI) is a powerful concept from information theory used in many application fields. For practical tasks it is often necessary to estimate the Mutual In...
Erik Schaffernicht, Robert Kaltenhaeuser, Saurabh ...
DAGSTUHL
2009
13 years 4 months ago
Advances in Feature Selection with Mutual Information
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...
COLING
1996
13 years 5 months ago
Good Bigrams
A desired property of a measure of connective strength in bigrams is that the measure should be insensitive to corpus size. This paper investigates the stability of three differen...
Christer Johansson