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» Improved Sparse Bump Modeling for Electrophysiological Data
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TSP
2008
151views more  TSP 2008»
13 years 5 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
JMLR
2008
209views more  JMLR 2008»
13 years 6 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
CORR
2012
Springer
272views Education» more  CORR 2012»
12 years 1 months ago
Fast and Exact Top-k Search for Random Walk with Restart
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity sco...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk...
MOBIQUITOUS
2008
IEEE
14 years 11 days ago
Exploiting Schelling behavior for improving data accessibility in mobile peer-to-peer networks
In 1969, Thomas Schelling proposed one of the most cited models in economics to explain how similar people (e.g. people with the same race, education, community) group together in...
Long Vu, Klara Nahrstedt, Matthias Hollick
NLPRS
2001
Springer
13 years 10 months ago
A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling
We describe a simple improvement to ngram language models where we estimate the distribution over closed-class (function) words separately from the conditional distribution of ope...
Fuchun Peng, Dale Schuurmans