Sciweavers

1974 search results - page 124 / 395
» Online learning in online auctions
Sort
View
JMLR
2010
130views more  JMLR 2010»
13 years 4 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
ICML
2006
IEEE
14 years 11 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 11 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
ICWL
2005
Springer
14 years 3 months ago
Adaptive Internet Interactive Team Video
The increasing popularity of distance learning and online courses has highlighted the lack of collaborative tools for student groups. In addition,
Dan B. Phung, Giuseppe Valetto, Gail E. Kaiser
ECRA
2010
145views more  ECRA 2010»
13 years 10 months ago
Inferring preference correlations from social networks
Identifying consumer preferences is a key challenge in customizing electronic commerce sites to individual users. The increasing availability of online social networks provides on...
Tad Hogg