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» Learning from Logged Implicit Exploration Data
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UAI
2004
13 years 9 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
MICCAI
2009
Springer
14 years 9 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...
SIGIR
2010
ACM
14 years 10 days ago
The demographics of web search
How does the web search behavior of “rich” and “poor” people differ? Do men and women tend to click on different results for the same query? What are some queries almost...
Ingmar Weber, Carlos Castillo
CIKM
2009
Springer
14 years 1 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
ECIR
2010
Springer
13 years 10 months ago
Goal-Driven Collaborative Filtering - A Directional Error Based Approach
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
Tamas Jambor, Jun Wang