624 search results - page 44 / 125 » The Tradeoffs of Large Scale Learning |
ICMLA
2010
13 years 5 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
INFOCOM
2002
IEEE
14 years 24 days ago
2002
IEEE
— A novel framework is presented for the study of scalability in ad hoc networks. Using this framework, the first asymptotic analysis is provided with respect to network size, m...
EMNLP
2010
13 years 5 months ago
2010
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
SIGMOD
2009
ACM
14 years 8 months ago
2009
ACM
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— The development of large scale biometric systems requires experiments to be performed on large amounts of data. Existing capture systems are designed for fixed experiments and...