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» Learning Linearly Separable Languages
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ML
2006
ACM
113views Machine Learning» more  ML 2006»
14 years 1 months ago
A separate compilation extension to standard ML
We present an extension to Standard ML, called SMLSC, to support separate compilation. The system gives meaning to individual program fragments, called units. Units may depend on ...
David Swasey, Tom Murphy VII, Karl Crary, Robert H...
EAAI
2006
157views more  EAAI 2006»
13 years 7 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
ECCC
2000
75views more  ECCC 2000»
13 years 7 months ago
Deterministic Turing Machines in the Range between Real-Time and Linear-Time
Deterministic k-tape and multitape Turing machines with one-way, two-way and without a separated input tape are considered. We investigate the classes of languages acceptable by s...
Andreas Klein, Martin Kutrib
ESOP
2010
Springer
14 years 4 months ago
Amortised Resource Analysis with Separation Logic
Type-based amortised resource analysis following Hofmann and Jost--where resources are associated with individual elements of data structures and doled out to the programmer under ...
Robert Atkey
ICALP
1990
Springer
13 years 11 months ago
Determining the Separation of Preprocessed Polyhedra - A Unified Approach
We show how (now familiar) hierarchical representations of (convex) polyhedra can be used to answer various separation queries efficiently (in a number of cases, optimally). Our e...
David P. Dobkin, David G. Kirkpatrick