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ICML
2010
IEEE
15 years 7 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
RECOMB
2004
Springer
16 years 6 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
TON
2012
13 years 9 months ago
Abnormally Malicious Autonomous Systems and Their Internet Connectivity
—While many attacks are distributed across botnets, investigators and network operators have recently identified malicious networks through high profile autonomous system (AS) ...
Craig A. Shue, Andrew J. Kalafut, Minaxi Gupta
SSPR
2000
Springer
15 years 10 months ago
Encoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks
Abstract. Recently, a number of authors have explored the use of recursive recursive neural nets (RNN) for the adaptive processing of trees or tree-like structures. One of the most...
Mikel L. Forcada, Rafael C. Carrasco
FMICS
2010
Springer
15 years 6 months ago
Correctness of Sensor Network Applications by Software Bounded Model Checking
We investigate the application of the software bounded model checking tool CBMC to the domain of wireless sensor networks (WSNs). We automatically generate a software behavior mode...
Frank Werner, David Faragó