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NIPS
2007
15 years 8 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...
CLEF
2009
Springer
15 years 7 months ago
Search Path Visualization and Session Performance Evaluation with Log Files
Our approach to the Log Analysis for Digital Societies (LADS) task of LogCLEF 2009 is to define three different levels of performance: success, failure and strong failure. To inve...
Katrin Lamm, Thomas Mandl, Ralph Koelle
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
15 years 7 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 6 months ago
Towards Parameterized Regular Type Inference Using Set Constraints
We propose a method for inferring parameterized regular types for logic programs as solutions for systems of constraints over sets of finite ground Herbrand terms (set constraint s...
Francisco Bueno, Jorge A. Navas, Manuel V. Hermene...
SIGIR
2008
ACM
15 years 6 months ago
Local text reuse detection
Text reuse occurs in many different types of documents and for many different reasons. One form of reuse, duplicate or near-duplicate documents, has been a focus of researchers be...
Jangwon Seo, W. Bruce Croft