Results 261 to 270 of about 322,377 (296)

Cooperative Spectrum Sensing with energy-efficient Sequential Decision Fusion rule

2014 23rd Wireless and Optical Communication Conference (WOCC), 2014
Energy efficiency is an important issue in Cooperative Spectrum Sensing (CSS). In this paper, an energy-efficient Sequential Decision Fusion (SDF) scheme based on K-out-of-N rule is proposed. By fusing the received decisions sequentially, Fusion Center (FC) may achieve a global decision before receiving all individual decisions.
null Hongzhi Luan, null Ou Li, null Xiaoyi Zhang   +2 more
openaire   +1 more source

Transformative Decision Rules, Permutability, and Non-Sequential Framing of Decision Problems

Synthese, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Patch leaving decision rules in parasitoids: do they use sequential decisional sampling?

Behavioral Ecology and Sociobiology, 2003
Within the framework of optimal foraging theory, models assume that parasitoid insects are able to evaluate the quality of the patch in which they are currently searching for hosts and the travel time between patches. They can adjust their residence time in consequence.
Pierre, Jean-Sébastien, van Baaren, Joan, Boivin, Guy   +2 more
openaire   +3 more sources

Sequential size assessment and multicomponent decision rules mediate aerial wasp contests

Animal Behaviour, 2006
In aerial conflicts among territorial insects, injury costs are not obviously high and contestants cannot physically ‘force the issue’. Resource-holding potential in these cases usually relates to morphological and/or biophysical determinants of flight performance and endurance rather than traditional parameters such as size and strength.
Darrell J. Kemp, John Alcock, Geoff R. Allen   +2 more
openaire   +1 more source

An alternative decision rule for quality control in sequential sampling plans

Communications in Statistics - Theory and Methods, 1993
The conventional rule for acceptance sampling based on sequential samples is based on the rationale of hypothesis testing developed by Wald (1947). This type of decision rule tests the hypothesis of P=p1 versus P=p2 as a proxy for determining whether P>d or ...
Lap-Ming Wun, Charles C. Brown
openaire   +1 more source

Condensed Nearest Neighbor Decision Rule Input Weight Sequential Feed-Forward Neural Networks

Applied Mechanics and Materials, 2014
This paper proposes a new approach is referred to as condensed nearest neighbor decision rule (CNN) input weight sequential feed-forward neural networks (CIW-SFFNS). In this paper, it is firstly shown that the difference of optimization constraints between the extreme learning machine (ELM) and constrained-optimization-based extreme learning machine ...
Shu Xia Lu, Yang Fan Zhou, Bin Liu
openaire   +1 more source

A decision rule for sequential monitoring of clinical trials with a primary and supportive outcome

Clinical Trials, 2007
Background Many clinical trials have multiple outcomes. Formal interim monitoring guidelines that take account of multiple outcomes can be useful to Data Monitoring Committees (DMC). Previous research has focused on marginal criteria that control the overall type I error for bivariate endpoints corresponding to efficacy and safety.
Yanli, Zhao, Patricia M, Grambsch, James D, Neaton   +2 more
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Induction of decision trees by looking to data sequentially and using error correction rule

2016 Eighth International Conference on Information and Knowledge Technology (IKT), 2016
Decision trees are common algorithms in machine learning. Traditionally, these algorithms make trees recursively and at each step, they inspect data to induce the part of the tree. However decision trees are famous for their instability and high variance in error.
NargesSadat Bathaeian, Muharram Mansoorizadeh   +1 more
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Optimal and asymptotically optimal decision rules for sequential screening and resource allocation

IEEE Transactions on Automatic Control, 2001
Summary: We consider the problem of maximizing the expected sum of \(n\) variables \(X_k\) chosen sequentially in an i.i.d. sequence of length \(N\). It is equivalent to the following resource allocation problem: \(n\) machines have to be allocated to \(N\) jobs of value \(X_k\) \((k=1, \dots,N)\) arriving sequentially, the \(i\)th machine has a (known)
openaire   +1 more source

Modeling consumer sequential search with refinement and click-stream under non-compensatory decision rules

2020
Online platforms provide a large number of products/information for consumers to browse. It brings convenience for gathering information, however, a problem appears when consumers make decisions. Since the products on platforms have multiple attribute levels, it is complex for consumers to compare products with considering all these attribute levels ...
openaire   +2 more sources