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IJCAI
2003
13 years 8 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
SPIRE
2010
Springer
13 years 5 months ago
Why Large Closest String Instances Are Easy to Solve in Practice
We initiate the study of the smoothed complexity of the Closest String problem by proposing a semi-random model of Hamming distance. We restrict interest to the optimization versio...
Christina Boucher, Kathleen Wilkie
NAACL
2010
13 years 4 months ago
An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing
We present a novel deterministic dependency parsing algorithm that attempts to create the easiest arcs in the dependency structure first in a non-directional manner. Traditional d...
Yoav Goldberg, Michael Elhadad
ASSETS
2007
ACM
13 years 10 months ago
EasyVoice: integrating voice synthesis with Skype
This paper presents EasyVoice, a system that integrates voice synthesis with Skype. EasyVoice allows a person with voice disabilities to talk with another person located anywhere ...
Paulo A. Condado, Fernando G. Lobo
ICCD
2007
IEEE
124views Hardware» more  ICCD 2007»
14 years 3 months ago
Placement and routing of RF embedded passive designs in LCP substrate
Physical layout generation of RF embedded passive design is not an easy task since the response of a given layout is tightly coupled with the response of the individual components...
Mohit Pathak, Souvik Mukherjee, Madhavan Swaminath...