Towards more robust science communication models
Towards More Scalable and Robust Machine Learning
... Adversarially Robust Generalization Many machine learning models are vulnerable to adversarial attacks; for example, adding adversarial perturbations that are imperceptible to humans can often make machine ...
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Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
... target models trained by FGSM and LL suffer badly from the label leaking problem because the accuracy against FGSM attack is even higher than the clean ...quite robust, demonstrating random start helps the ...
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Models in Science Communication Policy
... obtain more out of re- search if channels for two-way communication are established ...two-way communication are given: 1) the researchers get corrective feedback and ideas; 2) the users get an ...
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Towards More Robust Keyword Spotting for Voice Assistants
... 4 System and Threat Models System Model. We assume the VA to exist in an environ- ment that contains a set of trusted devices, such as smart- phones, computers, and tablets. Each device has at least one ...
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Rethinking science communication models in practice
... traditional models of science communication, rather than a clear separation between ...about science may create a dialogue or it may just be a very interesting one-way dissemination of ...a ...
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Towards a more representative parametrisation of hydrologic models via synthesizing the strengths of Particle Swarm Optimisation and Robust Parameter Estimation
... The remainder of this paper is organised as follows: After the introduction, we will introduce the concept of data depth and subsequently the ROPE method provided by B´ardossy and Singh (2008). This is followed by a ...
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CiteSeerX — Towards a More Precise Definition of Feature Models
... Hardware, Software. 4. Implementation technique features: Design decision, Communication, ADT. Unfortunately there is no clear definition for making a distinction between these views. User-visible properties ...
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Towards Intelligible Robust Anomaly Detection by Learning Interpretable Behavioural Models
... behavioural models from network traffic and that these can improve roubustness of anomaly ...the models by showing that a more structured FSA outperforms the simpler ...
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Towards more robust and efficient methods for the calculation of Protein-Ligand binding affinities
... energy models must be reduced to the point where they lead to errors in a converged calculation that are smaller than the desired errors in rel- ative binding affinities compared to experiment, typically on the ...
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Creative Nonfiction in Social Science: Towards More Engaging and Engaged Research
... Introduction “Creative nonfi ction,” “scientifi ction,” “sociological novel,” and similar labels have been used to describe literary/narrative approaches to factual, re- search-based storytelling. Combining facts with ...
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Robust statistical deformable models
... Figure 4.7 shows the mean point-to-point normalized RMS fitting error overall 3026 images with respect to the iteration number by allowing the optimization procedure to converge. The results indicate that HOG and SIFT ...
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Unreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software
... usual science: once the truly consistent understanding of real complex interac- tion is established, it should automatically be applicable to any other, maybe externally quite different case of equally complex ...
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Communication as Social Science (and More)
... of science in the singular, while in phrases like the “arts and science” the various arts are seen as incommensurably ...made more sense for arts like painting, sculpture, and ...doing ...
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Towards robust evolutionary inference with integral projection models
... If the intercept is assumed to remain constant, and the first parent-o↵spring regression is used to estimate the mean phenotype in generation 3 ( z3 ), instead of the true value 10.5, 10[r] ...
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Handling Outlier in Two-Ways Table by Robust Alternating Regression of FANOVA Models: Towards Robust AMMI Models
... Step 1 is starting values. First, a robust principal component analysis (PCA) procedure is performed. The resulting scores are then taken as starting values f ˆ i ( ) 0 for the factor scores. We use the projection ...
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Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners
... examples varies, etc), it is desirable that algorithms are able to adapt their parameters to improve learning (Potts and Sammut, 2005; Klinkenberg and Joachims, 2000). The adaptive capacity of the internal parameters ...
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Towards more effective learning for sustainability: reconceptualising science education
... between science and environmental ...constructing science courses which will help empower young people as future citizens in ways that existing science courses are widely seen as having failed to do ...
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Towards Robust PATR
... aOf course, the imp]ication here that a is used be- fore words beginning with a vowel and an is used before words beginning with a consonant is an oversimplification.. I[r] ...
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Towards more robust advice : message flow analysis for composition Filters and its Application
... 6.7.2 GROOVE’s inefficiency We used GROOVE to implement the transformation and simulation rules. The prob- lem with GROOVE is that it uses graph matching to apply the transformation rules and isomorphism checks to check ...
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Robust Hashing for Models
... hash more resistant to mutations as very similar hashes would have values that will fall in the same ...arguably more complex, error corrections codes may be used to obtain a similar effect by exploiting ...
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