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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 9 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
HPCA
2007
IEEE
13 years 11 months ago
An Adaptive Cache Coherence Protocol Optimized for Producer-Consumer Sharing
Shared memory multiprocessors play an increasingly important role in enterprise and scientific computing facilities. Remote misses limit the performance of shared memory applicat...
Liqun Cheng, John B. Carter, Donglai Dai
CLEF
2006
Springer
13 years 9 months ago
TALP at GeoCLEF 2006: Experiments Using JIRS and Lucene with the ADL Feature Type Thesaurus
This paper describes our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the GeoCLEF 2006 Monolingual English task. The TALPGeoIR sy...
Daniel Ferrés, Horacio Rodríguez
BMCBI
2010
129views more  BMCBI 2010»
13 years 5 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...
NAR
2008
115views more  NAR 2008»
13 years 5 months ago
Data growth and its impact on the SCOP database: new developments
The Structural Classification of Proteins (SCOP) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationsh...
Antonina Andreeva, Dave Howorth, John-Marc Chandon...