513 search results - page 21 / 103 » Learning Models for Ranking Aggregates |
JMLR
2010
14 years 7 months ago
2010
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
97
Voted
RECSYS
2009
ACM
15 years 7 months ago
2009
ACM
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
91
Voted
SIGIR
2009
ACM
15 years 7 months ago
2009
ACM
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
108
Voted
CEC
2009
IEEE
15 years 5 months ago
2009
IEEE
—The paper is focused on the problem of aggregation of probability distribution applicable for parallel Bivariate Marginal Distribution Algorithm (pBMDA). A new approach based on...
85
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...