Sciweavers

419 search results - page 36 / 84
» Statistical relational learning of trust
Sort
View
NIPS
2003
13 years 10 months ago
Can We Learn to Beat the Best Stock
A novel algorithm for actively trading stocks is presented. While traditional universal algorithms (and technical trading heuristics) attempt to predict winners or trends, our app...
Allan Borodin, Ran El-Yaniv, Vincent Gogan
CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 9 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
CVPR
2011
IEEE
13 years 5 months ago
Learning to Share Visual Appearance for Multiclass Object Detection
We present a hierarchical classification model that allows rare objects to borrow statistical strength from related objects that have many training examples. Unlike many of the e...
Ruslan Salakhutdinov, Antonio Torralba, Josh Tenen...
ICML
2008
IEEE
14 years 9 months ago
The dynamic hierarchical Dirichlet process
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
Lu Ren, David B. Dunson, Lawrence Carin
ICTAI
2008
IEEE
14 years 3 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty