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ICASSP
2009
IEEE
16 years 1 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
16 years 26 days ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
HPDC
2006
IEEE
16 years 22 days ago
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O
This paper addresses the problem of efficient execution of a batch of data-intensive tasks with batch-shared I/O behavior, on coupled storage and compute clusters. Two scheduling...
Gaurav Khanna 0002, Nagavijayalakshmi Vydyanathan,...
DAWAK
2005
Springer
16 years 6 days ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...
SAC
2003
ACM
15 years 12 months ago
Similar_Join: Extending DBMS with a Bio-specific Operator
Existing sequence comparison software applications lack automation, abstraction, performance, and flexibility. Users need a new way of studying and applying sequence comparisons i...
Jake Yue Chen, John V. Carlis