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The Nature of Statistical Learning Theory
, 1999
"... Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based on the deve ..."
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Cited by 13236 (32 self)
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Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based
A GRAPH THEORETIC ANALYSIS
"... éruditest un consortium interuniversitaire sans but lucratif composé de l'Université de Montréal, l'Université Laval et l'Université du Québec à Montréal. Il a pour mission la promotion et la valorisation de la recherche.éruditoffre des services d'édition numérique de documents s ..."
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éruditest un consortium interuniversitaire sans but lucratif composé de l'Université de Montréal, l'Université Laval et l'Université du Québec à Montréal. Il a pour mission la promotion et la valorisation de la recherche.éruditoffre des services d'édition numérique de documents scientifiques depuis 1998. Pour communiquer avec les responsables d'Érudit:
GraphTheoretic Analysis of Kautz Topology and
 DHT Schemes,” in NPC, 2004
"... Abstract. Many proposed distributed hash table (DHT) schemes for peertopeer network are based on some traditional parallel interconnection topologies. In this paper, we show that the Kautz graph is a very good static topology to construct DHT schemes. We demonstrate the optimal diameter and optima ..."
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Cited by 5 (0 self)
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Abstract. Many proposed distributed hash table (DHT) schemes for peertopeer network are based on some traditional parallel interconnection topologies. In this paper, we show that the Kautz graph is a very good static topology to construct DHT schemes. We demonstrate the optimal diameter
Graph theoretical analysis of qualitative models in sustainability science
 IN PROCEEDINGS OF THE 16TH INTERNATIONAL WORKSHOP ON QUALITATIVE REASONING
, 2002
"... Solution sets of larger qualitative models tend to explode in the number of possible qualitative states. Moreover, their representation as a tree obscures important properties of the QDE from the modeller. To improve the use of qualitative modelling techniques in sustainability science, a simplifi ..."
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Cited by 6 (3 self)
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simplified representation, the state transition graph, is introduced. It enables a “gestalt view ” of the result and an automated search for general properties and associated structures of the model that are relevant for sustainability issues. Some of these properties are defined and illustrated
Graphtheoretic analysis of multistationarity using degree theory
, 2014
"... Biochemical mechanisms with mass action kinetics are often modeled by systems of polynomial differential equations (DE). Determining directly if the DE system has multiple equilibria (multistationarity) is difficult for realistic systems, since they are large, nonlinear and contain many unknown par ..."
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Cited by 1 (0 self)
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parameters. Mass action biochemical mechanisms can be represented by a directed bipartite graph with species and reaction nodes. Graphtheoretic methods can then be used to assess the potential of a given biochemical mechanism for multistationarity by identifying structures in the bipartite graph referred
A System/Graph Theoretical Analysis Of Attractor Coders
 in Proceedings ICASSP97 (IEEE International Conference on Acoustics, Speech and Signal Processing
, 1997
"... This paper provides links between the young field of attractor coding and the wellestablished fields of systems theory and graph theory. Attractor decoders are modeled as linear systems whose stability is both necessary and sufficient for convergence of the decoder. This stability is dictated by th ..."
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This paper provides links between the young field of attractor coding and the wellestablished fields of systems theory and graph theory. Attractor decoders are modeled as linear systems whose stability is both necessary and sufficient for convergence of the decoder. This stability is dictated
GraphTheoretic Analysis of Finite Markov Chains
"... Introduction Markov chains arise frequently in the modeling of physical and conceptual processes that evolve over time. For example, the di#usion of liquids across a semiporous membrane, the spread of disease within a population, and the flow of personnel within the ranks of an organization can all ..."
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Cited by 3 (0 self)
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Introduction Markov chains arise frequently in the modeling of physical and conceptual processes that evolve over time. For example, the di#usion of liquids across a semiporous membrane, the spread of disease within a population, and the flow of personnel within the ranks of an organization can all be modeled using Markov chains. In each of these cases, the system can be found in any of a finite number of states, and transitions between states occur at discrete instants according to specified probabilities. As one illustration, suppose that there are M molecules in a vessel, separated into two chambers by a membrane, across which molecules can pass. A typical configuration of the system at any instant can be described by the distribution of the M molecules between the two chambers. If there are k 1 molecules in the first chamber, then there will be k 2 = M  k 1 molecules in the se
GraphTheoretic Analysis of Collaborative Knowledge Bases in Natural Language Processing
"... We present a graphtheoretic analysis of the topological structures underlying the collaborative knowledge bases Wikipedia and Wiktionary, which are promising uprising resources in Natural Language Processing. We contrastively compare them to a conventional linguistic knowledge base, and address the ..."
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We present a graphtheoretic analysis of the topological structures underlying the collaborative knowledge bases Wikipedia and Wiktionary, which are promising uprising resources in Natural Language Processing. We contrastively compare them to a conventional linguistic knowledge base, and address
A Proposal for Graph Theoretic Analysis of ProteinProtein Interaction (PPI) Networks
"... ProteinProtein Interaction (PPI) networks are commonly represented as undirected graphs with nodes corresponding to proteins and unitweight edges representing the interactions between two proteins. In an ongoing research, we intend to improve the knowledgebase of PPI networks by conducting the f ..."
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the following graph theoretic analysis studies: (i) We propose to take an intersection of the PPI network graphs for specific commonlystudied organisms extracted from a set of wellknown databases and evaluate properties such as degree distribution, diameter and clustering coefficient of the intersection graph
Results 1  10
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65,512