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» Hedging predictions in machine learning
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GROUP
2010
ACM
14 years 8 months ago
Design, implementation, and evaluation of an approach for determining when programmers are having difficulty
Previous research has motivated the idea of automatically determining when programmers are having difficulty, provided an initial algorithm (unimplemented in an actual system), an...
Jason Carter, Prasun Dewan
COMCOM
2010
167views more  COMCOM 2010»
14 years 7 months ago
Effective load for flow-level performance modelling of file transfers in wireless LANs
Today, a wide range of 802.11-based Wireless LANs (WLANs) have become dominant to provide wireless Internet access for file transfers. For engineering purposes, there is a need fo...
Geert Jan Hoekstra, Robert D. van der Mei
RECOMB
2007
Springer
15 years 10 months ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
RSEISP
2007
Springer
15 years 4 months ago
Checking Brain Expertise Using Rough Set Theory
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
Andrzej W. Przybyszewski
ICML
2000
IEEE
15 years 11 months ago
Rates of Convergence for Variable Resolution Schemes in Optimal Control
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
Andrew W. Moore, Rémi Munos