Sciweavers

1034 search results - page 79 / 207
» A Bayesian Metric for Evaluating Machine Learning Algorithms
Sort
View
ICML
2010
IEEE
14 years 7 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
ECIR
2010
Springer
14 years 7 months ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins
CIKM
2008
Springer
14 years 11 months ago
Group-based learning: a boosting approach
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
Weijian Ni, Jun Xu, Hang Li, Yalou Huang
ICS
1994
Tsinghua U.
15 years 1 months ago
Evaluating automatic parallelization for efficient execution on shared-memory multiprocessors
We present a parallel code generation algorithm for complete applications and a new experimental methodology that tests the efficacy of our approach. The algorithm optimizes for d...
Kathryn S. McKinley
SIGIR
2008
ACM
14 years 9 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang