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IJON
2007
79views more  IJON 2007»
15 years 1 months ago
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two co
An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protoc...
Claudia Clopath, Renaud Jolivet, Alexander Rauch, ...
EMNLP
2009
14 years 11 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
ATVA
2011
Springer
295views Hardware» more  ATVA 2011»
14 years 1 months ago
Parallel Nested Depth-First Searches for LTL Model Checking
Even though the well-known nested-depth first search algorithm for LTL model checking provides good performance, it cannot benefit from the recent advent of multi-core computers....
Sami Evangelista, Laure Petrucci, Samir Youcef
NAACL
2007
15 years 3 months ago
On using Articulatory Features for Discriminative Speaker Adaptation
This paper presents a way to perform speaker adaptation for automatic speech recognition using the stream weights in a multi-stream setup, which included acoustic models for “Ar...
Florian Metze
SIGIR
2012
ACM
13 years 4 months ago
An uncertainty-aware query selection model for evaluation of IR systems
We propose a mathematical framework for query selection as a mechanism for reducing the cost of constructing information retrieval test collections. In particular, our mathematica...
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayl...