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» Restricting and Embedding Imperatives
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ENTCS
2010
110views more  ENTCS 2010»
14 years 7 months ago
Formalizing Homogeneous Language Embeddings
The cost of implementing syntactically distinct Domain Specific Languages (DSLs) can be reduced by homogeneously embedding them in a host language in cooperation with its compiler...
Tony Clark, Laurence Tratt
ESANN
2006
14 years 11 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
JOLLI
2011
84views more  JOLLI 2011»
14 years 18 days ago
Semantically Restricted Argument Dependencies
This paper presents a new take on how argument dependencies in natural language are established and constrained. The paper starts with a rather standard view that (quantificationa...
Alastair Butler
CVPR
2007
IEEE
15 years 11 months ago
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Jean-Philippe Pons, Jean-Daniel Boissonnat
FPL
2009
Springer
156views Hardware» more  FPL 2009»
15 years 2 months ago
A highly scalable Restricted Boltzmann Machine FPGA implementation
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...