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NIPS
2007
14 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
COMPSAC
2008
IEEE
15 years 4 months ago
Service-Oriented Modelling of Automotive Systems
We discuss the suitability of service-oriented computing for the automotive domain. We present a formal high-level language in which complex automotive activities can be modelled ...
Laura Bocchi, José Luiz Fiadeiro, Ant&oacut...
WSC
2001
14 years 11 months ago
Practical approaches for validating a construction simulation
This paper presents three methods implemented in the activity-based construction modeling and simulation (ABC) system for validating a construction simulation. The first method re...
Jonathan Jingsheng Shi
ESANN
2000
14 years 11 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
EMNLP
2009
14 years 7 months ago
How well does active learning
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
Jason Baldridge, Alexis Palmer