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Fuzzy Information Retrieval Model Based on Multiple Related
"... Abstract – With the World Wide Web popularity the information retrieval area has a new challenge intending to retrieve information resources by their meaning by using a knowledge base. Nowadays ontologies are being used to model knowledge bases. To deal with knowledge subjectivity and uncertainty fu ..."
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Abstract – With the World Wide Web popularity the information retrieval area has a new challenge intending to retrieve information resources by their meaning by using a knowledge base. Nowadays ontologies are being used to model knowledge bases. To deal with knowledge subjectivity and uncertainty
1Sub-Nyquist Sampling: Bridging Theory and Practice
"... [ A review of past and recent strategies for sub-Nyquist sampling] Signal processing methods have changed substantially over the last several decades. In modern applications, an increasing number of functions is being pushed forward to sophisticated software algorithms, leaving only delicate finely- ..."
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-tuned tasks for the circuit level. Sampling theory, the gate to the digital world, is the key enabling this revolution, encompassing all aspects related to the conversion of continuous-time signals to discrete streams of numbers. The famous Shannon-Nyquist theorem has become a landmark: a mathematical
Using Option Pricing to Value Commitment Flexibility in Multi-agent Systems
, 1997
"... With the explosive growth of internet activity, there will be an increasing reliance on intelligent software agents for electronic commerce and information retrieval. Such multi-agents systems will be comprised of self-motivated agents that interact with each other though negotiation and task delega ..."
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Cited by 3 (0 self)
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, valuing a contract under assumptions of uncertainty, risk reduction, making decisions in situations of asymmetric information, or situations of sequential subcontracting where each agent must decide to subcontract part of its current contract to others. Our model is based on financial option pricing
CORRECTING FOR PRECIPITATION EFFECTS IN SATELLITE-BASED PASSIVE MICROWAVE TROPICAL CYCLONE INTENSITY ESTIMATES
, 2005
"... Public reporting burden for this collection of Information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments ..."
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Public reporting burden for this collection of Information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send
POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR
"... 2010 to my wife, Joyce, and my family...- Résumé- ..."
guidance of Prof. Raj Jain)
"... Kerberos was initially developed at MIT as a part of Project Athena and in these days it is widely deployed single sign-on protocol that is developed to authenticate clients to multiple networked services. Furthermore, Cross-realm authentication is a useful and interesting component of Kerberos aime ..."
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Kerberos was initially developed at MIT as a part of Project Athena and in these days it is widely deployed single sign-on protocol that is developed to authenticate clients to multiple networked services. Furthermore, Cross-realm authentication is a useful and interesting component of Kerberos
Chapter 12 Rough Sets and Rough Logic: A KDD Perspective
"... Abstract Basic ideas of rough set theory were proposed by Zdzis law Pawlak [85, 86] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world–wide growth of interest in rough sets and their applications. The main goal of rough set analysis is induction of approximations of con ..."
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Abstract Basic ideas of rough set theory were proposed by Zdzis law Pawlak [85, 86] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world–wide growth of interest in rough sets and their applications. The main goal of rough set analysis is induction of approximations
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