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Metabolic stability and epigenesis in randomly connected nets

by S. A. Kauffman - 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 Proto-organisms probably were randomly aggregated nets of chemical reactions. The hypothesis that contemporary organisms are also r ..."
Abstract - Cited by 657 (5 self) - Add to MetaCart
“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 Proto-organisms probably were randomly aggregated nets of chemical reactions. The hypothesis that contemporary organisms are also

Random Key Predistribution Schemes for Sensor Networks”,

by Haowen Chan , Adrian Perrig , Dawn Song - IEEE Symposium on Security and Privacy, , 2003
"... Abstract Efficient key distribution is the basis for providing secure communication, a necessary requirement for many emerging sensor network applications. Many applications require authentic and secret communication among neighboring sensor nodes. However, establishing keys for secure communicatio ..."
Abstract - Cited by 832 (12 self) - Add to MetaCart
communication among neighboring sensor nodes in a sensor network is a challenging problem, due to the scale of sensor nets, the limited computation and communication resources of sensors, their deployment in hostile environments yet their lack of tamper-resistant hardware. The limited computation resources

The Mean Square Discrepancy of Randomized Nets

by Fred J. Hickernell , 1996
"... this article a formula for the mean square L ..."
Abstract - Cited by 23 (5 self) - Add to MetaCart
this article a formula for the mean square L

Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence

by Charles G. Lord, Lee Ross - Journal of Personality and Social Psychology , 1979
"... People who hold strong opinions on complex social issues are likely to examine relevant empirical evidence in a biased manner. They are apt to accept "confirming" evidence at face value while subjecting "discontinuing " evidence to critical evaluation, and as a result to draw und ..."
Abstract - Cited by 477 (8 self) - Add to MetaCart
undue support for their initial positions from mixed or random empirical findings. Thus, the result of exposing contending factions in a social dispute to an identical body of relevant empirical evidence may be not a narrowing of disagreement but rather an increase in polarization. To test

The asymptotic efficiency of randomized nets for quadrature

by Fred J. Hickernell, Hee, Sun Hong - Math. Comp , 1999
"... Abstract. An L2-type discrepancy arises in the average- and worst-case error analyses for multidimensional quadrature rules. This discrepancy is uniquely defined by K(x, y), which serves as the covariance kernel for the space of random functions in the average-case analysis and a reproducing kernel ..."
Abstract - Cited by 9 (3 self) - Add to MetaCart
for the space of functions in the worst-case analysis. This article investigates the asymptotic order of the root mean square discrepancy for randomized (0,m,s)-nets in base b. For moderately smooth K(x, y) the discrepancy is O(N −1 [log(N)] (s−1)/2), and for K(x, y) with greater smoothness the discrepancy is O

Using mutual information for selecting features in supervised neural net learning

by Roberto Battiti - IEEE TRANSACTIONS ON NEURAL NETWORKS , 1994
"... This paper investigates the application of the mutual infor“ criterion to evaluate a set of candidate features and to select an informative subset to be used as input data for a neural network classifier. Because the mutual information measures arbitrary dependencies between random variables, it is ..."
Abstract - Cited by 358 (1 self) - Add to MetaCart
This paper investigates the application of the mutual infor“ criterion to evaluate a set of candidate features and to select an informative subset to be used as input data for a neural network classifier. Because the mutual information measures arbitrary dependencies between random variables

CAPACITIVE FLOWS ON A 2D RANDOM NET

by Olivier Garet , 2006
"... Abstract. This paper concerns maximal flows on Z 2 traveling from a convex set to infinity, the flows being restricted by a random capacity. For every compact convex set A, we prove that the maximal flow Φ(nA) between nA and infinity is such that Φ(nA)/n almost surely converges to the integral of a ..."
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Abstract. This paper concerns maximal flows on Z 2 traveling from a convex set to infinity, the flows being restricted by a random capacity. For every compact convex set A, we prove that the maximal flow Φ(nA) between nA and infinity is such that Φ(nA)/n almost surely converges to the integral of a

A behavioral summary for completely random nets

by Alan E. Gelfand, Alan E. Gelfand - Bulletin of Mathematical Biology , 1982
"... f the 44 41 4*J 4hlFb st sIa~te ~~~~~~~1 itfte~4t4 tt ~ a e n cz- ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
f the 44 41 4*J 4hlFb st sIa~te ~~~~~~~1 itfte~4t4 tt ~ a e n cz-

Epsilon-Nets and Simplex Range Queries

by David Haussler, Emo Welzl , 1986
"... We present a new technique for half-space and simplex range query using O(n) space and O(n a) query time, where a < if(a-l) +7 for all dimensions d ~2 a(a-l) + 1 and 7> 0. These bounds are better than those previously published for all d ~ 2. The technique uses random sampling to build a part ..."
Abstract - Cited by 282 (7 self) - Add to MetaCart
partition-tree structure. We introduce the concept of an e-net for an abstract set of ranges to describe the desired result of this random sampling and give necessary and sufficient conditions that a random sample is an e-net with high probability. We illustrate the application of these ideas to other range

Order Flow and Exchange Rate Dynamics

by Martin D. D. Evans, Richard K. Lyons , 1999
"... Macroeconomic models of nominal exchange rates perform poorly. In sample, R 2 statistics as high as 10 percent are rare. Out of sample, these models are typically out-forecast by a naïve random walk. This paper presents a model of a new kind. Instead of relying exclusively on macroeconomic determina ..."
Abstract - Cited by 303 (23 self) - Add to MetaCart
. Our model of daily exchange-rate changes produces R 2 statistics above 50 percent. Out of sample, our model produces significantly better short-horizon forecasts than a random walk. For the DM/ $ spot market as a whole, we find that $1 billion of net dollar purchases increases the DM price of a dollar
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