Articles with "selection based" as a keyword



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Training sequence effects on emergent conditional discriminations: Replication and extension to selection-based training.

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Published in 2021 at "Journal of the experimental analysis of behavior"

DOI: 10.1002/jeab.713

Abstract: We examined the replicability and generality of a previously reported training sequence effect on emergent conditional discriminations in the intraverbal naming task. In Experiment 1, a tact-intraverbal (TI) group learned first to vocally label 6… read more here.

Keywords: conditional discriminations; selection based; training sequence; emergent conditional ... See more keywords
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Recession and firm survival: is selection based on cleansing or skill accumulation?

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Published in 2020 at "Small Business Economics"

DOI: 10.1007/s11187-020-00378-0

Abstract: Recessions are complex events that create highly unpredictable and unstable business environments. When faced with such events, firm survival depends only limitedly on production efficiency. Rather, it depends on the skills and ability to cope… read more here.

Keywords: based cleansing; selection based; firm survival; recession firm ... See more keywords
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Best criteria selection based PROMETHEE II method

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Published in 2020 at "OPSEARCH"

DOI: 10.1007/s12597-020-00464-7

Abstract: In recent years, PROMETHEE II has emerged as one of the most efficient and successfully applied outranking method in multi-criteria decision making (MCDM) problems. Conventional PROMETHEE II method presumes that the weights of the criteria… read more here.

Keywords: criteria selection; promethee method; selection based; best criteria ... See more keywords
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Comparison of different selection strategies for mulberry silkworm, Bombyx mori

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Published in 2019 at "International Journal of Tropical Insect Science"

DOI: 10.1007/s42690-019-00015-8

Abstract: This study was conducted to determine optimum selection strategies for economically important traits in mulberry silkworm Bombyx mori. A total of 450 cocoons (225 males, 225 females) in each of two strains, 107 (Japanese) and… read more here.

Keywords: selection based; mulberry silkworm; silkworm bombyx; selection strategies ... See more keywords
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A secondary selection-based orthogonal matching pursuit method for rolling element bearing diagnosis

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Published in 2021 at "Measurement"

DOI: 10.1016/j.measurement.2021.109199

Abstract: Abstract Sparse representation based on the matching pursuit (MP) algorithm is an effective method for fault feature extraction involving rolling element bearings. However, in the sparse decomposition stage, the MP algorithm is extremely susceptible to… read more here.

Keywords: selection based; matching pursuit; signal; method ... See more keywords
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Structure selection based on interval predictor model for recovering static non-linearities from chaotic data

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Published in 2018 at "Iet Control Theory and Applications"

DOI: 10.1049/iet-cta.2017.1033

Abstract: This study introduces a method of structure selection based on interval predictor model (IPM) and sum of squares formulation. The main contribution is to provide polynomial identified models that can recover static non-linearities from chaotic… read more here.

Keywords: interval predictor; selection based; based interval; structure ... See more keywords
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Unsupervised hyperspectral feature selection based on fuzzy c-means and grey wolf optimizer

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Published in 2018 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2018.1541366

Abstract: ABSTRACT Hyperspectral image (HSI) with hundreds of narrow and consecutive spectral bands provides substantial information to discriminate various land-covers. However, the existence of redundant features/bands not only gives rise to increasing of computation time but… read more here.

Keywords: feature selection; feature; selection based; grey wolf ... See more keywords

Feature Selection Based on Structured Sparsity: A Comprehensive Study.

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Published in 2017 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2016.2551724

Abstract: Feature selection (FS) is an important component of many pattern recognition tasks. In these tasks, one is often confronted with very high-dimensional data. FS algorithms are designed to identify the relevant feature subset from the… read more here.

Keywords: feature selection; feature; selection based; ssfs methods ... See more keywords
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Exploring Gaze for Assisting Freehand Selection-based Text Entry in AR

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Published in 2022 at "Proceedings of the ACM on Human-Computer Interaction"

DOI: 10.1145/3530882

Abstract: With eye-tracking increasingly available in Augmented Reality, we explore how gaze can be used to assist freehand gestural text entry. Here the eyes are often coordinated with manual input across the spatial positions of the… read more here.

Keywords: based text; exploring gaze; entry; selection based ... See more keywords