2217 search results - page 284 / 444 » Learning from Collective Behavior |
89
Voted
COLT
2008
Springer
15 years 2 months ago
2008
Springer
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
125
click to vote
EDM
2008
15 years 2 months ago
2008
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which...
103
Voted
IJCAI
2001
15 years 2 months ago
2001
This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
122
Voted
ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
126
Voted
KES
2006
Springer
15 years 22 days ago
2006
Springer
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...