Sciweavers

4660 search results - page 70 / 932
» Learning from imperfect data
Sort
View
CVPR
2005
IEEE
14 years 11 months ago
Robust Boosting for Learning from Few Examples
We present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of our original data. The motivation is that since the learning algori...
Lior Wolf, Ian Martin
COMPSAC
2000
IEEE
14 years 1 months ago
Effort-Index-Based Software Reliability Growth Models and Performance Assessment
In this paper, we first show that the logistic testing-effort function is practically acceptable/helpful for modeling software reliability growth and providing a reasonable descri...
Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu
ICML
2009
IEEE
14 years 9 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 9 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...
LREC
2008
128views Education» more  LREC 2008»
13 years 10 months ago
Relation between Agreement Measures on Human Labeling and Machine Learning Performance: Results from an Art History Domain
We discuss factors that affect human agreement on a semantic labeling task in the art history domain, based on the results of four experiments where we varied the number of labels...
Rebecca J. Passonneau, Thomas Lippincott, Tae Yano...