1339 search results - page 21 / 268 » Learning Functions from Imperfect Positive Data |
ACL
2009
13 years 5 months ago
2009
We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
GECCO
2009
Springer
14 years 4 days ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
INCDM
2010
Springer
13 years 6 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
KDD
1998
ACM
13 years 11 months ago
1998
ACM
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...