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GENERALIZED CONNECTIVITY ∗
, 2005
"... In this paper, we introduce generalized connectivity in Lfuzzy topological spaces by ÃLukasiewicz logic and prove K. Fan’s theorem. Key words: ÃLukasiewicz logic; Lfuzzy topology; quasicoincident neighborhood system. ..."
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In this paper, we introduce generalized connectivity in Lfuzzy topological spaces by ÃLukasiewicz logic and prove K. Fan’s theorem. Key words: ÃLukasiewicz logic; Lfuzzy topology; quasicoincident neighborhood system.
The Curvature Theory of Generalized Connection
"... In the paper are presented the explicit expressions for the components of the torsion and curvature of a generalized connection on the 2osculator bundle of a real differentiable manifold; the corresponding Ricci identities for the generalized connection are also derived. ..."
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In the paper are presented the explicit expressions for the components of the torsion and curvature of a generalized connection on the 2osculator bundle of a real differentiable manifold; the corresponding Ricci identities for the generalized connection are also derived.
Probabilistic Routing in Intermittently Connected Networks
 SIGMOBILE Mobile Computing and Communication Review
, 2004
"... In this paper, we address the problem of routing in intermittently connected networks. In such networks there is no guarantee that a fully connected path between source and destination exists at any time, rendering traditional routing protocols unable to deliver messages between hosts. There does ..."
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Cited by 633 (6 self)
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In this paper, we address the problem of routing in intermittently connected networks. In such networks there is no guarantee that a fully connected path between source and destination exists at any time, rendering traditional routing protocols unable to deliver messages between hosts
A formal basis for architectural connection
 ACM TRANSACTIONS ON SOJIWARE ENGINEERING AND METHODOLOGY
, 1997
"... ..."
Metabolic stability and epigenesis in randomly connected nets
 Journal of Theoretical Biology
, 1969
"... “The world is either the effect of cause or chance. If the latter, it is a world for all that, that is to say, it is a regular and beautiful structure.” Marcus Aurelius Protoorganisms probably were randomly aggregated nets of chemical reactions. The hypothesis that contemporary organisms are also r ..."
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Cited by 637 (4 self)
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; and under the stimulus of noise are capable of differentiating directly from any mode of behavior to at most a few other modes of behavior. Cellular differentation is modeled as a Markov chain among the modes of behavior of a genetic net. The possibility of a general theory of metabolic behavior
Generalized Additive Models
, 1984
"... Likelihood based regression models, such as the normal linear regression model and the linear logistic model, assume a linear (or some other parametric) form for the covariate effects. We introduce the Local Scotinq procedure which replaces the liner form C Xjpj by a sum of smooth functions C Sj(Xj) ..."
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Cited by 2413 (46 self)
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(Xj)a The Sj(.) ‘s are unspecified functions that are estimated using scatterplot smoothers. The technique is applicable to any likelihoodbased regression model: the class of Generalized Linear Models contains many of these. In this class, the Locul Scoring procedure replaces the linear predictor VI = C Xj
Critical Power for Asymptotic Connectivity in Wireless Networks
, 1998
"... : In wireless data networks each transmitter's power needs to be high enough to reach the intended receivers, while generating minimum interference on other receivers sharing the same channel. In particular, if the nodes in the network are assumed to cooperate in routing each others ' pack ..."
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Cited by 548 (19 self)
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; packets, as is the case in ad hoc wireless networks, each node should transmit with just enough power to guarantee connectivity in the network. Towards this end, we derive the critical power a node in the network needs to transmit in order to ensure that the network is connected with probability one
A Spatial Logic based on Regions and Connection
 PROCEEDINGS 3RD INTERNATIONAL CONFERENCE ON KNOWLEDGE REPRESENTATION AND REASONING
, 1992
"... We describe an interval logic for reasoning about space. The logic simplifies an earlier theory developed by Randell and Cohn, and that of Clarke upon which the former was based. The theory supports a simpler ontology, has fewer defined functions and relations, yet does not suffer in terms of its us ..."
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Cited by 736 (32 self)
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We describe an interval logic for reasoning about space. The logic simplifies an earlier theory developed by Randell and Cohn, and that of Clarke upon which the former was based. The theory supports a simpler ontology, has fewer defined functions and relations, yet does not suffer in terms of its useful expressiveness. An axiomatisation of the new theory and a comparison with the two original theories is given.
The Ricci Identity For General Connections
"... . Given an arbitrary fibered manifold Y ! M , we introduce the second order absolute differentiation with respect to a general connection \Gamma on Y and a classical linear connection on M . Then we generalize the Ricci identity to such a situation. The problem requires a new geometric operation on ..."
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Cited by 5 (0 self)
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. Given an arbitrary fibered manifold Y ! M , we introduce the second order absolute differentiation with respect to a general connection \Gamma on Y and a classical linear connection on M . Then we generalize the Ricci identity to such a situation. The problem requires a new geometric operation
Property Testing and its connection to Learning and Approximation
"... We study the question of determining whether an unknown function has a particular property or is fflfar from any function with that property. A property testing algorithm is given a sample of the value of the function on instances drawn according to some distribution, and possibly may query the fun ..."
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Cited by 498 (68 self)
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the function on instances of its choice. First, we establish some connections between property testing and problems in learning theory. Next, we focus on testing graph properties, and devise algorithms to test whether a graph has properties such as being kcolorable or having a aeclique (clique of density ae
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