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Outperforming Example

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Preview of WaveRunner 8000HD im Vergleich zur Tek 5-Serie
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WaveRunner 8000HD im Vergleich zur Tek 5-Serie (waverunner8000hd-v-tek-5series.pdf)

3.22 MBTeledyne LeCroyEN 2 pages
WaveRunner 8000HD offers the industry's lowest noise for the highest signal fidelity and most accurate measurements, with 8 analog channels, 12-bit resolution,...
Preview of Website Fingerprinting: Attacking Popular Privacy Enhancing Technologies with the Multinomial Naïve-Bayes Classifier
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Website Fingerprinting: Attacking Popular Privacy Enhancing Technologies with the Multinomial Naïve-Bayes Classifier (authorsversion-ccsw09.pdf)

326 KBEN 12 pages
Researchers present a novel website fingerprinting method using a Multinomial Naïve-Bayes classifier to identify websites accessed through encrypted tunnels,...
Preview of Liontrust India Fund Review
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Liontrust India Fund Review (202206-liontrust-india-fund--q2-2022-review.pdf)

256 KBDAEN 3 pages
5% in Q2 2022, outperforming the MSCI India Index's -6
Preview of Reinforcement Learning for Explainable Recommendation
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Reinforcement Learning for Explainable Recommendation (1906.05237.pdf)

1.38 MBYikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, and Yongfeng ZhangEN 10 pages
A method for explainable recommendations using knowledge graph reasoning, providing interpretable paths.
Preview of Active Model Adaptation Under Unknown Shift.
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Active Model Adaptation Under Unknown Shift. (kdd22-auto.pdf)

1.23 MBEN 9 pages
Machine learning models typically rely on a fixed distribution, but data distribution shift is commonly observed in real-world practice due to unforeseen...
Preview of Rank Aggregation
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Rank Aggregation (249_main_paper.pdf)

1.64 MBEN 10 pages
Spectral methods rank items using scarce pairwise preferences and additional feature information. This approach modifies RankCentrality to incorporate few comparisons and extra features. It outperforms state-of-the-art methods in practice.
Preview of Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection
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Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection (2207.13916.pdf)

4.72 MBEN 43 pages
A novel data augmentation technique, Compounded Corruptions (CnC), creates synthetic out-of-distribution samples by corrupting in-distribution data, enabling the training of effective OOD detection classifiers without requiring labeled OOD examples
Preview of Online Charter School Performance: A 2015 Comprehensive Study
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Online Charter School Performance: A 2015 Comprehensive Study (OnlineCharterStudyFinal2015.pdf)

1.13 MBEN 114 pages
2015 Online Charter School Study by CREDO, a Stanford University initiative, analyzes student performance, led by James L. Woodworth and Margaret E. Raymond.
Preview of Probabilistic Verb Selection for Enhanced Data-to-Text Generation
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Probabilistic Verb Selection for Enhanced Data-to-Text Generation (Q18-1038.pdf)

389 KBEN 18 pages
Experiments on large news corpora show significant improvements.

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