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» Prediction on Spike Data Using Kernel Algorithms
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JCB
2006
129views more  JCB 2006»
15 years 2 months ago
GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data
Genome-wide microarray designs containing millions to hundreds of millions of probes are available for a variety of mammals, including mouse and human. These genome tiling arrays ...
Brendan J. Frey, Quaid Morris, Timothy R. Hughes
ISVC
2009
Springer
15 years 9 months ago
Energetic Path Finding across Massive Terrain Data
Throughout history, the primary means of transportation for humans has been on foot. We present a software tool which can help visualize and predict where historical trails might l...
Andrew Tsui, Zoë J. Wood
DAWAK
2009
Springer
15 years 9 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
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JMLR
2010
144views more  JMLR 2010»
14 years 9 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
JPDC
2006
111views more  JPDC 2006»
15 years 2 months ago
Designing irregular parallel algorithms with mutual exclusion and lock-free protocols
Irregular parallel algorithms pose a significant challenge for achieving high performance because of the difficulty predicting memory access patterns or execution paths. Within an...
Guojing Cong, David A. Bader