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LISP
2006
105views more  LISP 2006»
13 years 5 months ago
Call-by-push-value: Decomposing call-by-value and call-by-name
We present the call-by-push-value (CBPV) calculus, which decomposes the typed call-by-value (CBV) and typed call-by-name (CBN) paradigms into fine-grain primitives. On the operatio...
Paul Blain Levy
BMCBI
2010
152views more  BMCBI 2010»
13 years 5 months ago
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis
Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...
Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse
RTAS
2003
IEEE
13 years 10 months ago
Modular Code Generation from Hybrid Automata based on Data Dependency
Model-based automatic code generation is a process of converting abstract models into concrete implementations in the form of a program written in a high-level programming languag...
Jesung Kim, Insup Lee
PODC
2004
ACM
13 years 11 months ago
On the design of distributed protocols from differential equations
We propose a framework to translate certain subclasses of differential equation systems into distributed protocols that are practical. The synthesized protocols are state machine...
Indranil Gupta
CVPR
2000
IEEE
14 years 7 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer