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IDA
2007
Springer
15 years 6 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
INFSOF
2007
145views more  INFSOF 2007»
15 years 6 months ago
Metrics for data warehouse conceptual models understandability
Due to the principal role of Data warehouses (DW) in making strategy decisions, data warehouse quality is crucial for organizations. Therefore, we should use methods, models, tech...
Manuel A. Serrano, Juan Trujillo, Coral Calero, Ma...
BMCBI
2005
84views more  BMCBI 2005»
15 years 6 months ago
A method of precise mRNA/DNA homology-based gene structure prediction
Background: Accurate and automatic gene finding and structural prediction is a common problem in bioinformatics, and applications need to be capable of handling non-canonical spli...
Alexander G. Churbanov, Mark Pauley, Daniel Quest,...
TIP
2002
114views more  TIP 2002»
15 years 6 months ago
New architecture for dynamic frame-skipping transcoder
Abstract--Transcoding is a key technique for reducing the bitrate of a previously compressed video signal. A high transcoding ratio may result in an unacceptable picture quality wh...
Kai-Tat Fung, Yui-Lam Chan, Wan-Chi Siu
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
14 years 1 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle