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» Classifier Combining Rules Under Independence Assumptions
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FLAIRS
2004
13 years 7 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
EUROCRYPT
2010
Springer
13 years 10 months ago
Encryption Schemes Secure against Chosen-Ciphertext Selective Opening Attacks
Imagine many small devices send data to a single receiver, encrypted using the receiver’s public key. Assume an adversary that has the power to adaptively corrupt a subset of the...
Serge Fehr, Dennis Hofheinz, Eike Kiltz, Hoeteck W...
BMCBI
2007
59views more  BMCBI 2007»
13 years 6 months ago
Environment specific substitution tables for thermophilic proteins
Background: Thermophilic organisms are able to live at high temperatures ranging from 50 to > 100°C. Their proteins must be sufficiently stable to function under these extreme...
K. Mizuguchi, M. Sele, Maria Vittoria Cubellis
CORR
2010
Springer
210views Education» more  CORR 2010»
13 years 6 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
NIPS
2004
13 years 7 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve