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Magnet: Robust and Efficient Collection through Control and Data Plane Integration

by unknown authors
"... Despite being a core networking primitive, collection protocols today often suffer from poor reliability (e.g., 70%) in practice, and heavily used protocols have never been evaluated in terms of communication efficiency. Using detailed experimental studies, we describe three challenges that cause ex ..."
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Despite being a core networking primitive, collection protocols today often suffer from poor reliability (e.g., 70%) in practice, and heavily used protocols have never been evaluated in terms of communication efficiency. Using detailed experimental studies, we describe three challenges that cause

Chapter 12 Rough Sets and Rough Logic: A KDD Perspective

by Zdzis Law Pawlak, Lech Polkowski, Andrzej Skowron
"... 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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of con-cepts. This main goal is motivated by the basic fact, constituting also the main problem of KDD, that languages we may choose for knowledge description are incomplete. A fortiori, we have to describe concepts of interest (features, proper-ties, relations etc.) not completely but by means

A Challenging Example Background to Qualitative Decision Theory

by Jon Doyle , Richmond H Thomason
"... s This article provides an overview of the field of qualitative decision theory: its motivating tasks and issues, its antecedents, and its prospects. Qualitative decision theory studies qualitative approaches to problems of decision making and their sound and effective reconciliation and integratio ..."
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with linear orderings. To obtain nontrivial recommendations of actions and useful algorithms, additional assumptions need to be made: the scales for preferences and belief need to be interrelated, and a decisionmaking policy needs to be adopted, for example, a minimax policy. For discussion of this approach

Towards Multistrategic Statistical Relational Learning

by Marenglen Biba, Stefano Ferilli, Floriana Esposito
"... Abstract Statistical Relational Learning (SRL) is a growing field in Machine Learning that aims at the integration of logic-based learning approaches with probabilistic graphical models. Markov Logic Networks (MLNs) are one of the state-of-the-art SRL models that combine first-order logic and Markov ..."
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by maximizing a likelihood function (or a function thereof) over relational databases and MLNs have been successfully applied to problems in relational and uncertain domains. However, most complex domains are characterized by incomplete data. Until now SRL models have mostly used Expectation-Maximization (EM

POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR

by Dominique Tschopp, Prof E. Telatar, Prof S. Diggavi, Prof M. Grossglauser, Prof J. -y, Le Boudec, Prof M. Mitzenmacher, Prof S. Shakkottai
"... 2010 to my wife, Joyce, and my family...- Résumé- ..."
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2010 to my wife, Joyce, and my family...- Résumé-

likelihood and the role of models in molecular phylogenetics.

by Mike Steel , David Penny - Mol. Biol. Evol. , 2000
"... Methods such as maximum parsimony (MP) are frequently criticized as being statistically unsound and not being based on any ''model.'' On the other hand, advocates of MP claim that maximum likelihood (ML) has some fundamental problems. Here, we explore the connection between the ..."
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selection process (MP) to minimize mutations. However, this latter usage combines the two aspects of selecting a tree with a minimal number of mutations and using only observed data (not corrected for any multiple changes). However, these are independent concepts and can be used in different combinations

3esis Supervisor Accepted by

by Audio-based Localisation, Benjamin Christopher Dalton, V. Michael, Benjamin Christopher Dalton , 2005
"... in partial ful2llment of the requirements for the degree of ..."
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in partial ful2llment of the requirements for the degree of

ANY-TIME FUZZY CONTROLLER

by Edward Shmukler, Dr. Gal, A. Kaminka , 2006
"... Fuzzy logic has been successfully applied in various fields. However, as fuzzy controllers increase in size and complexity, the number of control rules increases exponentially and real-time behavior becomes more difficult. This thesis introduces an any-time fuzzy controller. Much work has been done ..."
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to optimize and speed up a controlling process, however none of the existing solutions provides an any-time behavior. This study first introduces several constraints that should be satisfied in order to guarantee an any-time behavior. These constraints are related to aggregation and defuzzification phases

AND

by Tomer Michaeli, Yonina C. Eldar, Guillermo Sapiro , 2014
"... ar ..."
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permission. Structured Codes in Information Theory: MIMO and Network Applications

by Jiening Zhan, Jiening Zhan, Jiening Zhan, Jiening Zhan
"... All rights reserved. ..."
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All rights reserved.
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