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» Embedded Probabilistic Programming
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ICML
2002
IEEE
14 years 10 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
GECCO
2004
Springer
14 years 3 months ago
Evolving Quantum Circuits and Programs Through Genetic Programming
Abstract. Spector et al. have shown [1],[2],[3] that genetic programming can be used to evolve quantum circuits. In this paper, we present new results in this field, introducing p...
Paul Massey, John A. Clark, Susan Stepney
ECCV
2000
Springer
14 years 12 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
PPDP
2009
Springer
14 years 4 months ago
An embedded declarative data transformation language
We introduce a logic programming framework for data type transformations based on isomorphisms between elementary data types (natural numbers, finite functions, sets and permutat...
Paul Tarau
ASPLOS
2006
ACM
14 years 1 months ago
Efficient type and memory safety for tiny embedded systems
We report our experience in implementing type and memory safety in an efficient manner for sensor network nodes running TinyOS: tiny embedded systems running legacy, C-like code. ...
John Regehr, Nathan Cooprider, Will Archer, Eric E...