167 search results - page 19 / 34 » DiFacto: Distributed Factorization Machines |
147
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
125
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
128
Voted
SC
2009
ACM
15 years 10 months ago
2009
ACM
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms on multicore systems (either shared-memory or distributed-memory). We use a tas...
121
click to vote
ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
141
Voted
SIGIR
1999
ACM
15 years 7 months ago
1999
ACM
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...