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ICASSP
2011
IEEE
14 years 6 months ago
Non-linear tagging models with localist and distributed word representations
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...
Sumit Chopra, Srinivas Bangalore
ISMVL
1991
IEEE
145views Hardware» more  ISMVL 1991»
15 years 6 months ago
The Abnormality Predicate
We suggest a new representation of defeasible entailment and specificity in the framework of default logic. The representation is based on augmenting the underlying classical lan...
Eric Neufeld
AMW
2010
15 years 4 months ago
What You Must Remember When Processing Data Words
We provide a Myhill-Nerode-like theorem that characterizes the class of data languages recognized by deterministic finite-memory automata (DMA). As a byproduct of this characteriza...
Michael Benedikt, Clemens Ley, Gabriele Puppis
AAAI
2004
15 years 4 months ago
An Instance-Based State Representation for Network Repair
We describe a formal framework for diagnosis and repair problems that shares elements of the well known partially observable MDP and cost-sensitive classification models. Our cost...
Michael L. Littman, Nishkam Ravi, Eitan Fenson, Ri...
BC
2006
149views more  BC 2006»
15 years 3 months ago
Learning invariant object recognition in the visual system with continuous transformations
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
Simon M. Stringer, G. Perry, Edmund T. Rolls, J. H...