1211 search results - page 158 / 243 » Predicting building contamination using machine learning |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We consider the sequential portfolio investment problem. Building on results in signal processing, machine learning, and other areas, we use factor graphs to develop new universal...
CC
2006
Springer
15 years 1 months ago
2006
Springer
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
102
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
BMCBI
2008
14 years 10 months ago
2008
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
123
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ML
2002
ACM
14 years 9 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...