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Feature-based SPL analysis and family-based model checking have seen rapid development. Many model checking problems can be reduced to two-player games on finite graphs. A prominent example is mu-calculus model checking, which is generally done by translating to parity games, but also many quantitative model-checking problems can be reduced to ...
Fahrenberg, Uli, Legay, Axel
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Online Feature Selection with Streaming Features [PDF]
We propose a new online feature selection framework for applications with streaming features where the knowledge of the full feature space is unknown in advance. We define streaming features as features that flow in one by one over time whereas the number of training examples remains fixed.
Xindong, Wu +4 more
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Introducing our newest section to Parntership, Features.
Jessica Lange, Tamara Noor
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Based on experience from the hardware industry, product families have entered the software development process as well, since software developers often prefer not to build a single product but rather a family of similar products that share at least one common functionality while having well-identified variabilities.
Höfner, Peter +2 more
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Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction
In some supervised learning settings, the practitioner might have additional information on the features used for prediction. We propose a new method which leverages this additional information for better prediction. The method, which we call the feature-weighted elastic net ("fwelnet"), uses these "features of features" to adapt the relative penalties
Tay, J. Kenneth +3 more
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Dynamic Feature Selection from Variable Feature Sets Using Features of Features
Machine learning models usually assume that a set of feature values used to obtain an output is fixed in advance. However, in many real-world problems, a cost is associated with measuring these features. To address the issue of reducing measurement costs, various methods have been proposed to dynamically select which features to measure, but existing ...
Takahashi, Katsumi +2 more
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Feature-Based Attention and Feature-Based Expectation [PDF]
Foreknowledge of target stimulus features improves visual search performance as a result of 'feature-based attention' (FBA). Recent studies have reported that 'feature-based expectation' (FBE) also heightens decision sensitivity. Superficially, it appears that the latter work has simply rediscovered (and relabeled) the effects of FBA.
Christopher Summerfield, Tobias Egner
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Biophotonics feature: introduction
We introduce the feature issue on the Optics in the Life Sciences Congress held on April 2-5, 2017 in San Diego, CA. The Congress consisted of 5 topical symposia: (i) Bio-optics Design and Application; (ii) Novel Techniques in Microscopy; (iii) Optical Molecular Probes, Imaging and Drug Delivery; (iv) Optical Trapping Applications; and (v) Optics and ...
Campagnola, Paul +6 more
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