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NIPS
2004
15 years 8 months ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
Evan C. Smith, Michael S. Lewicki
NIPS
2003
15 years 8 months ago
Human and Ideal Observers for Detecting Image Curves
This paper compares the ability of human observers to detect target image curves with that of an ideal observer. The target curves are sampled from a generative model which speciï...
Alan L. Yuille, Fang Fang, Paul R. Schrater, Danie...
UAI
2003
15 years 8 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
DAGSTUHL
1996
15 years 8 months ago
Specialization of Imperative Programs Through Analysis of Relational Expressions
An analysis method for specialization of imperative programs is described in this paper. This analysis is an inter-procedural data flow method operating on control flow graphs and...
Alexander Sakharov
ICANN
2010
Springer
15 years 7 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...