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Efficient Mining Maximal Constant Row Bicluster in Function-resource Matrix for IMA Safety Analysis, Miao Wang, Zhiyong Xiong, Liang Xu, Lihua Zhang,Qingfan Gu and Guoqing Wang (pp. 1-20). LDPC Encoder and Decoder Architecture for Coding 3-bit Message Vector, Gade Sribala, D. V. N. Sukanya, K. Gouthami and Tai-hoon Kim (pp. 21-30).

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Human Interpretation of Saliency-based Explanation Over Text

Explaining the Predictions of Any Classifier. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, Balaji Krishnapuram, Mohak Shah, Alexander J. Smola, Charu C. Aggarwal, Dou Shen, and Rajeev Rastogi (Eds.). ... Stable and efficient multiple smoothing ...

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Soil Black Carbon Loss and Sediment Black Carbon Accumulation in a Central Texas Woodland. NASA Astrophysics Data System (ADS) Schieve, E. A.; Hockaday, W. C.; White, J. D. 2016-1

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nips 2019 - GitHub Pages

Instrumental variable (IV) regression is a strategy for learning causal relationships in observational data. If measurements of input X and output Y are confounded, the causal relationship can nonetheless be identified if an instrumental variable Z is available that influences X directly, but is conditionally independent of Y given X and the unmeasured confounder.

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Machine learning algorithms in data science

machine learning is a field of learning patterns through data without any need for explicitly programming or hand-written rules. It's a subfield of artificial intelligence (AI) and computer science . Before machine learning became mainstream, programmers wrote rules derived from a function of their domain knowledge, observation of some hand.

Publications - Lehrstuhl für Robotik, Künstliche Intelligenz und ...

Schneider, O.: Size Dependent Electrocatalysis of Gold Nanoparticles. In: Encyclopedia of Interfacial Chemistry: Surface Science and Electrochemistry. Elsevier, 2018 mehr. BibTeX Volltext ( DOI) 366/1919 Irani Liu, Edmond; Chen, Weidong; Wang, Jingchuan: A Localizability Constraint-Based Path Planning Method for Unmanned Aerial Vehicle.

NIPS2019 | 2019NIPS | NeurIPS2019~| NIPS2019

,Transfusion: Understanding Transfer Learning for Medical Imaging. NeurIPS 2019,6743, 1428, 21.1%,36Oral,164Spotlights。. NeurIPS ...

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Publications - Chair of Robotics, Artificial Intelligence and Real-time ...

Schneider, O.: Size Dependent Electrocatalysis of Gold Nanoparticles. In: Encyclopedia of Interfacial Chemistry: Surface Science and Electrochemistry. Elsevier, 2018 more. BibTeX Full text ( DOI) 366/1919 Irani Liu, Edmond; Chen, Weidong; Wang, Jingchuan: A Localizability Constraint-Based Path Planning Method for Unmanned Aerial Vehicle.

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Advances in Neural Information Processing Systems 32 ... - Researchr

Provable Gradient Variance Guarantees for Black-Box Variational Inference Justin Domke. 328-337 ... Classifier Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry. 1260-1271; ... Efficient Meta Learning via Minibatch Proximal Update Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, ...

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Human Interpretation of Saliency-based Explanation Over Text

While a lot of research in explainable AI focuses on producing effective explanations, less work is devoted to the question of how people understand and interpret the explanation. In this work, we focus on this question through a study of saliency-based explanations over textual data. Feature-attribution explanations of text models aim to communicate which parts of the input text were more ...

NeurIPS 2019

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. In Algorithms -- Adversarial Learning. Guang-He Lee · Yang Yuan · Shiyu Chang · Tommi Jaakkola ... Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. In Algorithms -- Adversarial Learning. Yiwen Guo · Ziang Yan · Changshui Zhang ...

2021.9.13 CS papers — Eye On AI

Sep 13, 2021Artificial Intelligence Podcast AI Recruitment Subscribe About Contact. 2021.9.13 CS papers. 09-09-2021. 1e0a: A Computational Approach to Rhythm Training. by Noel Alben et al. 09-07-2021. Corpus-based Open-Domain Event Type Induction. by Jiaming Shen et al.

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Inventing The Medium : Principles Of Interaction Design As A Cultural ...

Inventing The Medium : Principles Of Interaction Design As A Cultural Practice [PDF] [1ronvk7ip1gg]. Digital artifacts from iPads to databases pervade our lives, and the design decisions that shape them affect how we thin...

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The ability to mount more efficient black-box attacks allows engineers to redesign their models to be that much more resilient. "When I met Andrew and Logan as undergraduates, they already seemed like experienced researchers," says Chen, who now works with them via the MIT-IBM Watson AI Lab. "They're also great collaborators.

Applying test case prioritization to software microbenchmarks

Regression testing comprises techniques which are applied during software evolution to uncover faults effectively and efficiently. While regression testing is widely studied for functional tests, performance regression testing, e.g., with software .

How to Pan for Gold : 8 Steps (with Pictures) - Instructables

Step 4: Classify Your Paydirt. Once you've found a likely spot to dig your "pay dirt", go ahead and start digging. This photo shows my classifier sitting on top of my gold pan. I have filled the classifier with material dug out from behind a big rock in the stream bed.

EconPapers: Papers

2021: Proof-of-Stake Mining Games with Perfect Randomness Matheus V. X. Ferreira and S. Matthew Weinberg 2021: Financial Markets and the Phase Transition between Water and Steam Christof Schmidhuber 2021: Estimation and Inference in Factor Copula Models with Exogenous Covariates Alexander Mayer and Dominik Wied 2021: Dynamic Ordered Panel Logit ...

Paper Digest: NeurIPS 2019 Highlights - Paper Digest

We prove that the binary classifiers of bit strings generated by random wide deep neural networks with ReLU activation function are biased towards simple functions. ... Exploiting Promising Subspaces for Query-Efficient Black-box Attacks: Yiwen Guo, Ziang Yan, Changshui Zhang ... Mining GOLD Samples for Conditional GANs: Sangwoo Mo, Chiheon Kim ...

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ICRA 2017 Program | Tuesday May 30, 2017

Exact and Efficient Hamilton-Jacobi Guaranteed Safety Analysis Via System Decomposition: Chen, Mo: UC Berkeley: Herbert, Sylvia: UC Berkeley: Tomlin, Claire: UC Berkeley,, 10:05-10:10, Paper TUA2.3: Add to My Program : An Efficient Optimal Planning and Control Framework for Quadrupedal Locomotion ...

WSC 2021 Proceedings - informs-sim

Chair: Hamdi Kavak (George Mason University); Abdolreza Abhari (Ryerson University) Requirements for Data-Driven Reliability Modeling and Simulation of Smart Manufacturing Systems. Jonas Friederich, Sune Chung Jepsen, Sanja Lazarova-Molnar, and Torben Worm (University of Southern Denmark) Abstract. pdf.

Book - NeurIPS

Generalization in multitask deep neural classifiers: a statistical physics approach Anthony Ndirango, Tyler Lee; ... Exploiting Promising Subspaces for Query-Efficient Black-box Attacks Yiwen Guo, Ziang Yan, ... Mining GOLD Samples for Conditional GANs Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, ...

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High efficiency and easy operation spiral classifier.Fl spiral classifierpiral classifier, also called screw classifier, is widely used for distributing ore in the close circuit with ball mill, grading ore and fine slit in the gravity mill, grading granularity in the flow of metal get price widely used spiral classifier with high efficient roll

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The steps' sizes vary exponentially, allowing for efficient exploration and a binary search based exploitation. Let us gain some intuition regarding this algorithm's efficiency. ... Cheng et al.'s approach for hard-label black-box attack models hard-label attack as an optimization problem where the objective function can be evaluated by binary ...

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Figura A.1. - GREDOS USal

Figura A.1. - GREDOS USal