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BMCBI
2010
99views more  BMCBI 2010»
15 years 7 months ago
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)
Background: It has been apparent in the last few years that small non coding RNAs (ncRNA) play a very significant role in biological regulation. Among these microRNAs (miRNAs), 22...
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, As...
ICML
2007
IEEE
16 years 8 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
OSDI
2006
ACM
16 years 7 months ago
iPlane: An Information Plane for Distributed Services
In this paper, we present the design, implementation, and evaluation of iPlane, a scalable service providing accurate predictions of Internet path performance for emerging overlay...
Harsha V. Madhyastha, Tomas Isdal, Michael Piatek,...
IPPS
2005
IEEE
16 years 24 days ago
Scheduling Processor Voltage and Frequency in Server and Cluster Systems
Modern server farm and cluster sites consume large quantities of energy both to power and cool the machines in the site. At the same time, less power supply redundancy is offered ...
Ramakrishna Kotla, Soraya Ghiasi, Tom W. Keller, F...
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
16 years 16 days ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett