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Understanding and using the Implicit Association Test: I. An improved scoring algorithm

by Anthony G. Greenwald, T. Andrew Poehlman, Eric Luis Uhlmann, Mahzarin R. Banaji, Anthony G. Greenwald - Journal of Personality and Social Psychology , 2003
"... behavior relations Greenwald et al. Predictive validity of the IAT (Draft of 30 Dec 2008) 2 Abstract (131 words) This review of 122 research reports (184 independent samples, 14,900 subjects), found average r=.274 for prediction of behavioral, judgment, and physiological measures by Implic ..."
Abstract - Cited by 632 (94 self) - Add to MetaCart
by Implicit Association Test (IAT) measures. Parallel explicit (i.e., self-report) measures, available in 156 of these samples (13,068 subjects), also predicted effectively (average r=.361), but with much greater variability of effect size. Predictive validity of self-report was impaired for socially

Attention and the detection of signals

by Michael I. Posner, Charles R. R. Snyder, Brian J. Davidson - Journal of Experimental Psychology: General , 1980
"... Detection of a visual signal requires information to reach a system capable of eliciting arbitrary responses required by the experimenter. Detection latencies are reduced when subjects receive a cue that indicates where in the visual field the signal will occur. This shift in efficiency appears to b ..."
Abstract - Cited by 565 (2 self) - Add to MetaCart
to be due to an alignment (orient-ing) of the central attentional system with the pathways to be activated by the visual input. It would also be possible to describe these results as being due to a reduced criterion at the expected target position. However, this description ignores impor-tant constraints

Information flow and cooperative control of vehicle formations.

by J Alexander Fax , Richard M Murray - In Proceeings of 15th IFAC Conference, , 2002
"... Abstract We consider the problem of cooperation among a collection of vehicles performing a shared task using intervehicle communication to coordinate their actions. We apply tools from graph theory to relate the topology of the communication network to formation stability. We prove a Nyquist crite ..."
Abstract - Cited by 551 (11 self) - Add to MetaCart
criterion that uses the eigenvalues of the graph Laplacian matrix to determine the effect of the graph on formation stability. We also propose a method for decentralized information exchange between vehicles. This approach realizes a dynamical system that supplies each vehicle with a common reference

A Behavioral Notion of Subtyping

by Barbara H. Liskov, Jeanette M. Wing - ACM Transactions on Programming Languages and Systems , 1994
"... The use of hierarchy is an important component of object-oriented design. Hierarchy allows the use of type families, in which higher level supertypes capture the behavior that all of their subtypes have in common. For this methodology to be effective, it is necessary to have a clear understanding of ..."
Abstract - Cited by 509 (13 self) - Add to MetaCart
The use of hierarchy is an important component of object-oriented design. Hierarchy allows the use of type families, in which higher level supertypes capture the behavior that all of their subtypes have in common. For this methodology to be effective, it is necessary to have a clear understanding

Improved Boosting Algorithms Using Confidence-rated Predictions

by Robert E. Schapire , Yoram Singer - MACHINE LEARNING , 1999
"... We describe several improvements to Freund and Schapire’s AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each of their predictions. We give a simplified analysis of AdaBoost in this setting, and we show how this analysis can be used to find impr ..."
Abstract - Cited by 940 (26 self) - Add to MetaCart
improved parameter settings as well as a refined criterion for training weak hypotheses. We give a specific method for assigning confidences to the predictions of decision trees, a method closely related to one used by Quinlan. This method also suggests a technique for growing decision trees which turns

Empirical Bayes Analysis of a Microarray Experiment

by Bradley Efron, Robert Tibshirani, John D. Storey, Virginia Tusher - Journal of the American Statistical Association , 2001
"... Microarrays are a novel technology that facilitates the simultaneous measurement of thousands of gene expression levels. A typical microarray experiment can produce millions of data points, raising serious problems of data reduction, and simultaneous inference. We consider one such experiment in whi ..."
Abstract - Cited by 492 (20 self) - Add to MetaCart
in which oligonucleotide arrays were employed to assess the genetic effects of ionizing radiation on seven thousand human genes. A simple nonparametric empirical Bayes model is introduced, which is used to guide the ef � cient reduction of the data to a single summary statistic per gene, and also to make

A scaled conjugate gradient algorithm for fast supervised learning

by Martin F. Møller - NEURAL NETWORKS , 1993
"... A supervised learning algorithm (Scaled Conjugate Gradient, SCG) with superlinear convergence rate is introduced. The algorithm is based upon a class of optimization techniques well known in numerical analysis as the Conjugate Gradient Methods. SCG uses second order information from the neural netwo ..."
Abstract - Cited by 451 (0 self) - Add to MetaCart
-Fletcher-Goldfarb-Shanno memoryless quasi-Newton algorithm (BFGS) [1]. SCG yields a speed-up of at least an order of magnitude relative to BP. The speed-up depends on the convergence criterion, i.e., the bigger demand for reduction in error the bigger the speed-up. SCG is fully automated including no user dependent parameters

Time series tests of endogenous growth models

by Charles I. Jones - Quarterly Journal of Economics , 1995
"... According to endogenous growth theory, permanent changes in certain policy variables have permanent effects on the rate of economic growth. Empirically, however, U. S. growth rates exhibit no large persistent changes. Therefore, the determinants of long-run growth highlighted by a specific growth mo ..."
Abstract - Cited by 440 (0 self) - Add to MetaCart
According to endogenous growth theory, permanent changes in certain policy variables have permanent effects on the rate of economic growth. Empirically, however, U. S. growth rates exhibit no large persistent changes. Therefore, the determinants of long-run growth highlighted by a specific growth

On effective criterion of path selection for delay testing

by Masayasu Fukunaga, Seiji Kajihara, Sadami Takeoka, Shinichi Yosimura - Proc. Asian and South Pacific Design Automation Conference , 2003
"... Abstract – Since a logic circuit often has too many paths to test delay of all paths in the circuit, it is necessary for path delay testing to limit the number of paths to be tested. Paths to be tested should be ones with large delay that more likely cause a fault. In addition, a test set for the pa ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
for the paths are required to detect other models of faults as many as possible. In this paper, we investigate criteria of path selection for path delay testing. We first define typical two criteria to be investigated here, and then experimentally show the feature of paths selected with each criterion

Effective criterion for openness of an algebraic morphism, preprint 2010

by Janusz Adamus, Edward Bierstone, Pierre, D. Milman
"... ar ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
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