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» Learning From Ambiguous Examples
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ICASSP
2008
IEEE
15 years 11 months ago
An iterative unsupervised learning method for information distillation
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
Kamand Kamangar, Dilek Hakkani-Tür, Gökh...
CIMCA
2005
IEEE
15 years 10 months ago
Learning to feel the physics of a body
Despite the tremendous progress in robotic hardware and in both sensorial and computing efficiencies the performance of contemporary autonomous robots is still far below that of ...
Ralf Der, Frank Hesse, Georg Martius
TPHOL
1999
IEEE
15 years 9 months ago
Inductive Datatypes in HOL - Lessons Learned in Formal-Logic Engineering
Abstract. Isabelle/HOL has recently acquired new versions of definitional packages for inductive datatypes and primitive recursive functions. In contrast to its predecessors and mo...
Stefan Berghofer, Markus Wenzel
EMNLP
2007
15 years 6 months ago
Learning Noun Phrase Query Segmentation
Query segmentation is the process of taking a user’s search-engine query and dividing the tokens into individual phrases or semantic units. Identification of these query segmen...
Shane Bergsma, Qin Iris Wang
ICML
2006
IEEE
16 years 6 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...