Sciweavers

1421 search results - page 39 / 285
» Resampling methods for input modeling
Sort
View
ML
2002
ACM
129views Machine Learning» more  ML 2002»
15 years 2 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
EOR
2007
165views more  EOR 2007»
15 years 2 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
BMCBI
2006
165views more  BMCBI 2006»
15 years 2 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
170
Voted
IJCV
2010
261views more  IJCV 2010»
15 years 29 days ago
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
99
Voted
FC
2010
Springer
226views Cryptology» more  FC 2010»
15 years 5 months ago
Shoulder-Surfing Safe Login in a Partially Observable Attacker Model
Abstract. Secure login methods based on human cognitive skills can be classified into two categories based on information available to a passive attacker: (i) the attacker fully ob...
Toni Perkovic, Mario Cagalj, Nitesh Saxena