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SP
2006
IEEE
127views Security Privacy» more  SP 2006»
14 years 2 months ago
Siren: Catching Evasive Malware (Short Paper)
With the growing popularity of anomaly detection systems, which is due partly to the rise in zero-day attacks, a new class of threats have evolved where the attacker mimics legiti...
Kevin Borders, Xin Zhao, Atul Prakash
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
14 years 2 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
CEC
2005
IEEE
14 years 1 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
CIBCB
2005
IEEE
14 years 1 months ago
Predicting Peroxisomal Proteins
— PTS1 proteins are peroxisomal matrix proteins that have a well conserved targeting motif at the C-terminal end. However, this motif is present in many non peroxisomal proteins ...
John Hawkins, Mikael Bodén
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...