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» Applying Predicate Abstraction to Abstract State Machines
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TITB
2008
136views more  TITB 2008»
15 years 4 months ago
Helicobacter Pylori-Related Gastric Histology Classification Using Support-Vector-Machine-Based Feature Selection
Abstract--This study presents a computer-aided diagnosis system using sequential forward floating selection (SFFS) with support vector machine (SVM) to diagnose gastric histology o...
Chun-Rong Huang, Pau-Choo Chung, Bor-Shyang Sheu, ...
146
Voted
AWIC
2003
Springer
15 years 9 months ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma
DATE
2009
IEEE
178views Hardware» more  DATE 2009»
15 years 11 months ago
Correct-by-construction generation of device drivers based on RTL testbenches
Abstract—The generation of device drivers is a very time consuming and error prone activity. All the strategies proposed up to now to simplify this operation require a manual, ev...
Nicola Bombieri, Franco Fummi, Graziano Pravadelli...
140
Voted
FORTE
2010
15 years 5 months ago
On Efficient Models for Model Checking Message-Passing Distributed Protocols
Abstract. The complexity of distributed algorithms, such as state machine replication, motivates the use of formal methods to assist correctness verification. The design of the for...
Péter Bokor, Marco Serafini, Neeraj Suri
ASM
2000
ASM
15 years 8 months ago
An ASM Dynamic Semantics for Standard ML
Abstract. The Abstract State Machines (ASM) methodology is a methodology for formally specifying computing systems. We use the ASM methodology to give the dynamic semantics of the ...
Steven C. Cater, James K. Huggins