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» Learning Behavior Models for Hybrid Timed Systems
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IICAI
2007
15 years 1 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
115
Voted
CSL
2011
Springer
14 years 7 months ago
Hybrid user intention modeling to diversify dialog simulations
This paper proposes a novel user intention simulation method which is data-driven but can integrate diverse user discourse knowledge to simulate various types of user behaviors. A...
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Donghy...
116
Voted
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 26 days ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
85
Voted
DNA
2001
Springer
15 years 5 months ago
The Fidelity of the Tag-Antitag System
In the universal DNA chip method, target RNAs are mapped onto a set of DNA tags. Parallel hybridization of these tags with an indexed, complementary antitag array then provides an ...
John A. Rose, Russell J. Deaton, Masami Hagiya, Ak...
86
Voted
FORMATS
2007
Springer
15 years 6 months ago
On Timed Models of Gene Networks
Abstract. We present a systematic translation from timed models of genetic regulatory networks into products of timed automata to which one can apply verification tools in order l...
Grégory Batt, Ramzi Ben Salah, Oded Maler