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» Learning Compressible Models
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75
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HIS
2004
14 years 11 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
NLE
2007
148views more  NLE 2007»
14 years 9 months ago
Abbreviated text input using language modeling
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by ta...
Stuart M. Shieber, Rani Nelken
79
Voted
ACL
2006
14 years 11 months ago
Constraint-Based Sentence Compression: An Integer Programming Approach
The ability to compress sentences while preserving their grammaticality and most of their meaning has recently received much attention. Our work views sentence compression as an o...
James Clarke, Mirella Lapata
JAIR
2008
136views more  JAIR 2008»
14 years 9 months ago
Global Inference for Sentence Compression: An Integer Linear Programming Approach
Sentence compression holds promise for many applications ranging from summarization to subtitle generation. Our work views sentence compression as an optimization problem and uses...
James Clarke, Mirella Lapata
ADBIS
2007
Springer
117views Database» more  ADBIS 2007»
15 years 1 months ago
On the Effect of Trajectory Compression in Spatiotemporal Querying
Existing work repeatedly addresses that the ubiquitous positioning devices will start to generate an unprecedented stream of time-stamped positions leading to storage and computati...
Elias Frentzos, Yannis Theodoridis