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» Boosting Methods for Regression
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125
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 10 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
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 ...
Dale Schuurmans, Finnegan Southey
CHI
2005
ACM
15 years 10 months ago
A method to standardize usability metrics into a single score
Current methods to represent system or task usability in a single metric do not include all the ANSI and ISO defined usability aspects: effectiveness, efficiency & satisfactio...
Jeff Sauro, Erika Kindlund
94
Voted
IWSM
2000
Springer
15 years 1 months ago
CEOS - A Cost Estimation Method for Evolutionary, Object-Oriented Software Development
: In this article we present a method for estimating the effort of software projects following an evolutionary, object-oriented development paradigm. Effort calculation is based on...
Siar Sarferaz, Wolfgang Hesse
NIPS
2007
14 years 11 months ago
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
Ben Blum, Michael I. Jordan, David Kim, Rhiju Das,...
ICDM
2010
IEEE
235views Data Mining» more  ICDM 2010»
14 years 7 months ago
Content-Based Methods for Predicting Web-Site Demographic Attributes
Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotion...
Santosh Kabbur, Eui-Hong Han, George Karypis