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KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 6 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
ICASSP
2011
IEEE
14 years 9 months ago
Sparse channel estimation with lp-norm and reweighted l1-norm penalized least mean squares
The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteri...
Omid Taheri, Sergiy A. Vorobyov
150
Voted
JNW
2008
171views more  JNW 2008»
15 years 6 months ago
The Necessity of Semantic Technologies in Grid Discovery
Service discovery and its automation are some of the key features that a large scale, open distributed system must provide so that clients and users may take advantage of shared re...
Serena Pastore
DEXAW
2003
IEEE
117views Database» more  DEXAW 2003»
15 years 11 months ago
Toward Hypermedia Design Methods for the Semantic Web
Hypermedia design methods have been proposed for the development of hypermedia and web applications. Nowadays, we face up to another challenge, the Semantic Web, in order to repre...
Susana Montero, Paloma Díaz, Ignacio Aedo, ...
ECAI
1990
Springer
15 years 10 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt