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KDD
2003
ACM
191views Data Mining» more  KDD 2003»
15 years 10 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
TSP
2010
14 years 4 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
SIGIR
2004
ACM
15 years 3 months ago
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
Shuang Liu, Fang Liu, Clement T. Yu, Weiyi Meng
ENC
2004
IEEE
15 years 1 months ago
Distributed Learning in Intentional BDI Multi-Agent Systems
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...
Alejandro Guerra-Hernández, Amal El Fallah-...
IPPS
2003
IEEE
15 years 2 months ago
GCA: A Massively Parallel Model
We had introduced the massively parallel global cellular automata (GCA) model. Parallel algorithms derived from applications can be mapped straight forward onto this model. In thi...
Rolf Hoffmann, Klaus-Peter Völkmann, Wolfgang...