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» Strong Separation of Learning Classes
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NIPS
2007
14 years 11 months ago
A learning framework for nearest neighbor search
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
Lawrence Cayton, Sanjoy Dasgupta
69
Voted
TASLP
2002
124views more  TASLP 2002»
14 years 9 months ago
Discriminating capabilities of syllable-based features and approaches of utilizing them for voice retrieval of speech informatio
With the rapidly growing use of the audio and multimedia information over the Internet, the technology for retrieving speech information using voice queries is becoming more and mo...
Berlin Chen, Hsin-Min Wang, Lin-Shan Lee
76
Voted
IJCAI
2007
14 years 11 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
ALT
2008
Springer
15 years 6 months ago
Numberings Optimal for Learning
This paper extends previous studies on learnability in non-acceptable numberings by considering the question: for which criteria which numberings are optimal, that is, for which nu...
Sanjay Jain, Frank Stephan
99
Voted
JGO
2008
111views more  JGO 2008»
14 years 9 months ago
A geometric framework for nonconvex optimization duality using augmented lagrangian functions
We provide a unifying geometric framework for the analysis of general classes of duality schemes and penalty methods for nonconvex constrained optimization problems. We present a ...
Angelia Nedic, Asuman E. Ozdaglar