529 search results - page 81 / 106 » Do People in HCI Use Machine Learning |
177
click to vote
JMLR
2011
15 years 21 hour ago
2011
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
158
click to vote
WSDM
2012
ACM
14 years 18 days ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
147
click to vote
CHI
2008
ACM
16 years 5 months ago
2008
ACM
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people&#...
147
click to vote
ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
129
click to vote
ICML
1997
IEEE
16 years 5 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...