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TSP
2008
167views more  TSP 2008»
15 years 4 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
High-throughput Protein Interactome Data: Minable or Not?
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Jake Yue Chen, Andrey Y. Sivachenko, Lang Li
BMCBI
2007
123views more  BMCBI 2007»
15 years 6 months ago
Normalization and experimental design for ChIP-chip data
Background: Chromatin immunoprecipitation on tiling arrays (ChIP-chip) has been widely used to investigate the DNA binding sites for a variety of proteins on a genome-wide scale. ...
Shouyong Peng, Artyom A. Alekseyenko, Erica Larsch...
205
Voted
CORR
2007
Springer
121views Education» more  CORR 2007»
15 years 6 months ago
Power-Efficient Direct-Voting Assurance for Data Fusion in Wireless Sensor Networks
—Wireless sensor networks place sensors into an area to collect data and send them back to a base station. Data fusion, in which collected data are fused before they are sent to ...
Hung-Ta Pai, Yunghsiang S. Han
IDA
2011
Springer
15 years 1 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...