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ECML
2003
Springer
14 years 2 months ago
Learning Rules to Improve a Machine Translation System
In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to ...
David Kauchak, Charles Elkan
AMKM
2003
Springer
14 years 2 months ago
Agentized, Contextualized Filters for Information Management
Every time a user engaged in work reads or writes, the user spontaneously generates new information needs: to understand the text he or she is reading or to supply more substance ...
David A. Evans, Gregory Grefenstette, Yan Qu, Jame...
JMLR
2012
11 years 11 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
ESE
2006
105views Database» more  ESE 2006»
13 years 9 months ago
Replaying development history to assess the effectiveness of change propagation tools
As developers modify software entities such as functions or variables to introduce new features, enhance old ones, or fix bugs, they must ensure that other entities in the software...
Ahmed E. Hassan, Richard C. Holt
GLOBECOM
2008
IEEE
14 years 3 months ago
Antenna Selection Diversity Based MAC Protocol for MIMO Ad Hoc Wireless Networks
— In this paper, we propose a novel asynchronous Media Access Control (MAC) protocol, Opportunistic MAC (OMAC), for Multiple Input Multiple Output (MIMO) ad-hoc networks. The pro...
Abhijeet Bhorkar, B. S. Manoj, Bhaskar D. Rao, Ram...