Results 1  10
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4,783
K.B.: MultiInterval Discretization of ContinuousValued Attributes for Classication Learning. In:
 IJCAI.
, 1993
"... Abstract Since most realworld applications of classification learning involve continuousvalued attributes, properly addressing the discretization process is an important problem. This paper addresses the use of the entropy minimization heuristic for discretizing the range of a continuousvalued a ..."
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Cited by 832 (7 self)
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valued attribute into multiple intervals. We briefly present theoretical evidence for the appropriateness of this heuristic for use in the binary discretization algorithm used in ID3, C4, CART, and other learning algorithms. The results serve to justify extending the algorithm to derive multiple intervals. We
A Practical Guide to Wavelet Analysis
, 1998
"... A practical stepbystep guide to wavelet analysis is given, with examples taken from time series of the El Nio Southern Oscillation (ENSO). The guide includes a comparison to the windowed Fourier transform, the choice of an appropriate wavelet basis function, edge effects due to finitelength t ..."
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Cited by 869 (3 self)
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A practical stepbystep guide to wavelet analysis is given, with examples taken from time series of the El Nio Southern Oscillation (ENSO). The guide includes a comparison to the windowed Fourier transform, the choice of an appropriate wavelet basis function, edge effects due to finite
Loopy belief propagation for approximate inference: An empirical study. In:
 Proceedings of Uncertainty in AI,
, 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" the use of Pearl's polytree algorithm in a Bayesian network with loops can perform well in the context of errorcorrecting codes. The most dramatic instance of this is the near Shannonlimit performanc ..."
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Cited by 676 (15 self)
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steady states it seems reasonable to try to find a way to com bine the two values. The simplest thing to do is to average them. Unfortunately, this gave very poor re sults, since the correct posteriors do not usually lie in the midpoint of the interval ( cf. 2More precisely, we found that with a
Long Shortterm Memory
, 1995
"... "Recurrent backprop" for learning to store information over extended time intervals takes too long. The main reason is insufficient, decaying error back flow. We briefly review Hochreiter's 1991 analysis of this problem. Then we overcome it by introducing a novel, efficient method c ..."
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Cited by 454 (58 self)
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"Recurrent backprop" for learning to store information over extended time intervals takes too long. The main reason is insufficient, decaying error back flow. We briefly review Hochreiter's 1991 analysis of this problem. Then we overcome it by introducing a novel, efficient method
Cache Decay: Exploiting Generational Behavior to Reduce Cache Leakage Power
 in Proceedings of the 28th International Symposium on Computer Architecture
, 2001
"... Power dissipation is increasingly important in CPUs ranging from those intended for mobile use, all the way up to highperformance processors for highend servers. While the bulk of the power dissipated is dynamic switching power, leakage power is also beginning to be a concern. Chipmakers expect tha ..."
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Cited by 280 (26 self)
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application basis by choosing appropriate decay intervals individually for each cache line. Our proposed adaptive policies effectively reduce L1 cache leakage energy by 5x for the SPEC2000 with only negligible degradations in performance. 1
Testing ContinuousTime Models of the Spot Interest Rate
 Review of Financial Studies
, 1996
"... Different continuoustime models for interest rates coexist in the literature. We test parametric models by comparing their implied parametric density to the same density estimated nonparametrically. We do not replace the continuoustime model by discrete approximations, even though the data are rec ..."
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Cited by 310 (9 self)
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are recorded at discrete intervals. The principal source of rejection of existing models is the strong nonlinearity of the drift. Around its mean, where the drift is essentially zero, the spot rate behaves like a random walk. The drift then meanreverts strongly when far away from the mean. The volatility
Twosided confidence intervals for the single proportion: comparison of seven methods. Stat. Med
, 1998
"... Simple interval estimate methods for proportions exhibit poor coverage and can produce evidently inappropriate intervals. Criteria appropriate to the evaluation of various proposed methods include: closeness of the achieved coverage probability to its nominal value; whether intervals are located too ..."
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Cited by 198 (2 self)
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Simple interval estimate methods for proportions exhibit poor coverage and can produce evidently inappropriate intervals. Criteria appropriate to the evaluation of various proposed methods include: closeness of the achieved coverage probability to its nominal value; whether intervals are located
Likelihoodbased tests of topologies in phylogenetics. Syst. Biol
, 2000
"... Abstract.—Likelihoodbased statistical tests of competing evolutionary hypotheses (tree topologies) have been available for approximately a decade. By far the most commonly used is the Kishino–Hasegawa test. However, the assumptions that have to be made to ensure the validity of the Kishino–Hasegawa ..."
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Cited by 225 (3 self)
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results from invalid applications of the Kishino–Hasegawa test should be treated extremely cautiously, and future applications should use appropriate alternative tests instead. We review such alternative tests, both nonparametric and parametric, and give two examples which illustrate the importance of our
Time Synchronization in Ad Hoc Networks
 IN ACM SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING (MOBIHOC 01
, 2001
"... Ubiquitous computing environments are typically based upon ad hoc networks of mobile computing devices. These devices may be equipped with sensor hardware to sense the physical environment and may be attached to real world artifacts to form so{called smart things. The data sensed by various smart th ..."
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Cited by 210 (13 self)
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time interval) play an important role. Thus physical time and clock synchronization are crucial in such environments. However, due to the characteristics of sparse ad hoc networks, classical clock synchronization algorithms are not applicable in this setting. We present a time synchronization scheme
Using confidence intervals for graphically based data interpretation
 CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY
, 2003
"... As a potential alternative to standard null hypothesis significance testing, we describe methods for graphical presentation of data – particularly condition means and their corresponding confidence intervals – for a wide range of factorial designs used in experimental psychology. We describe and il ..."
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Cited by 150 (19 self)
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and illustrate confidence intervals specifically appropriate for betweensubject versus withinsubject factors. For designs involving more than two levels of a factor, we describe the use of contrasts for graphical illustration of theoretically meaningful components of main effects and interactions
Results 1  10
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4,783