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» Transfer Entropy on Rank Vectors
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CORR
2010
Springer
67views Education» more  CORR 2010»
13 years 5 months ago
Transfer Entropy on Rank Vectors
A number of measures have been proposed for the direction of the coupling between two time series, and transfer entropy (TE) has been found in recent studies to perform consistentl...
Dimitris Kugiumtzis
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 5 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
DL
1998
Springer
111views Digital Library» more  DL 1998»
13 years 9 months ago
Query Performance for Tightly Coupled Distributed Digital Libraries
We consider a digital library distributed in a tightly coupled environment. The library is indexed by inverted files and the vector space model is used as ranking strategy. Using ...
Berthier A. Ribeiro-Neto, Ramurti A. Barbosa
ECIR
2008
Springer
13 years 6 months ago
A Comparison of Social Bookmarking with Traditional Search
Abstract. Social bookmarking systems allow users to store links to internet resources on a web page. As social bookmarking systems are growing in popularity, search algorithms have...
Beate Krause, Andreas Hotho, Gerd Stumme
ICASSP
2011
IEEE
12 years 9 months ago
An efficient rank-deficient computation of the Principle of Relevant Information
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
Luis Gonzalo Sánchez Giraldo, José C...