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» Hedging predictions in machine learning
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MLMI
2004
Springer
15 years 11 months ago
Piecing Together the Emotion Jigsaw
People are emotional, and machines are not. That constrains their communication, and defines a key challenge for the information sciences. Different groups have addressed it from d...
Roddy Cowie, Marc Schröder
COLT
2005
Springer
15 years 12 months ago
Rank, Trace-Norm and Max-Norm
We study the rank, trace-norm and max-norm as complexity measures of matrices, focusing on the problem of fitting a matrix with matrices having low complexity. We present generali...
Nathan Srebro, Adi Shraibman
ACL
2003
15 years 7 months ago
Classifying Recognition Results for Spoken Dialog Systems
This paper investigates the correlation between acoustic confidence scores as returned by speech recognizers with recognition quality. We report the results of two machine learni...
Malte Gabsdil
BMCBI
2008
112views more  BMCBI 2008»
15 years 6 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
BMCBI
2006
105views more  BMCBI 2006»
15 years 6 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa