AI Agent - arXivDaily 专题

1903.07406 2019-03-19 cs.CL cs.LG stat.ML 62%

Automatic Classification of Pathology Reports using TF-IDF Features

Shivam Kalra, Larry Li, Hamid R. Tizhoosh

专题命中工作流自动化：workflow(abstract)；分类 cs.CL、cs.LG

1810.09352 2019-03-18 cs.LG cs.AI stat.ML 62%

On The Stability of Interpretable Models

Riccardo Guidotti, Salvatore Ruggieri

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1709.08519 2019-01-17 quant-ph cond-mat.mes-hall cs.AI cs.LG stat.ML 62%

Enhanced Quantum Synchronization via Quantum Machine Learning

F. A. Cárdenas-López, M. Sanz, J. C. Retamal, E. Solano

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Journal ref Adv. Quantum Technol. 1800076 (2019)

1901.03678 2019-01-14 cs.LG cs.AI stat.ML 62%

Machine Learning Automation Toolbox (MLaut)

Viktor Kazakov, Franz J. Király

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

1901.02219 2019-01-09 cs.LG cs.AI stat.ML 62%

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning

Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1812.06855 2018-12-18 cs.LG cs.AI stat.ML 62%

Bayesian Optimization in AlphaGo

Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1703.10284 2018-11-28 cs.AI cs.LG 62%

Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization

Mark O. Riedl, Brent Harrison

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 6 pages; 1 figure; title, abstract updated; new experimental results

Journal ref Proceedings of the AAAI 2019 Workshop on SafeAI

1811.09558 2018-11-26 cs.LG cs.AI stat.ML 62%

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling

专题命中工作流自动化：planning(abstract)；分类 cs.AI、cs.LG

Comments Proceedings of the Thirty-second Conference on Neural Information Processing Systems, 2018

1811.05106 2018-11-14 cs.AI cs.CL 62%

Interpreting Models by Allowing to Ask

Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.CL

Comments 10 pages

1809.07436 2018-11-09 cs.CV cs.AI cs.LG 62%

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

Comments BIBM 2018 accepted

1805.03359 2018-11-09 cs.LG cs.AI stat.ML 62%

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent Francois-Lavet, Joelle Pineau

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Version 1 as appears in the International Conference on Learning Representations (ICLR) 2018 Workshop Track; Version 2 as appears in the Proceedings of The 2nd Conference on Robot Learning

1809.05650 2018-10-17 cs.AI cs.LG 62%

Detecting and Explaining Drifts in Yearly Grant Applications

Stephen Pauwels, Toon Calders

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

Comments BPI Challenge 2018 - Academic Report

1808.08953 2018-10-17 cs.AI cs.CL 62%

Term Set Expansion based NLP Architect by Intel AI Lab

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.CL

Comments EMNLP 2018 System Demonstrations. arXiv admin note: substantial text overlap with arXiv:1807.10104

1809.10788 2018-10-01 cs.RO cs.AI cs.LG 62%

Learning and Acting in Peripersonal Space: Moving, Reaching, and Grasping

Jonathan Juett, Benjamin Kuipers

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 35 pages, 13 figures

1809.08343 2018-09-25 cs.LG cs.AI stat.ML 62%

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush Varshney, Murray Campbell, Moninder Singh, Francesca Rossi

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 3 figures

1803.05752 2018-09-21 cs.RO cs.AI cs.LG 62%

Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning

Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Y. Wang, Kaiyu Hang

专题命中工作流自动化：planning(abstract)；分类 cs.AI、cs.LG

Comments 2018 International Conference on Robotics and Automation

1808.05770 2018-08-20 cs.CR cs.AI cs.LG stat.ML 62%

Reinforcement Learning for Autonomous Defence in Software-Defined Networking

Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier De Vel, Sarah Erfani, David Hubczenko, Christopher Leckie, Paul Montague

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 20 pages, 8 figures

1803.10227 2018-03-29 cs.LG cs.AI stat.ML 62%

Forward-Backward Reinforcement Learning

Ashley D. Edwards, Laura Downs, James C. Davidson

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1409.8498 2018-01-22 cs.GT cs.AI cs.LG 62%

Non-myopic learning in repeated stochastic games

Jacob W. Crandall

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Journal ref Robust Learning for Repeated Stochastic Games via Meta-Gaming, Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), pp. 3416-3422, 2015

1709.08607 2017-12-06 physics.data-an cs.AI cs.LG hep-ex 62%

Towards automation of data quality system for CERN CMS experiment

Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

1711.09357 2017-11-28 cs.CL cs.AI 62%

Generative Adversarial Network for Abstractive Text Summarization

Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.CL

Comments AAAI 2018 abstract, Supplemental material: http://likicode.com/textsum/

1708.08611 2017-09-05 cs.LO cs.AI cs.LG 62%

Safe Reinforcement Learning via Shielding

Mohammed Alshiekh, Roderick Bloem, Ruediger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1611.01843 2017-08-21 stat.ML cs.AI cs.CV cs.LG cs.NE physics.soc-ph 62%

Learning to Perform Physics Experiments via Deep Reinforcement Learning

Misha Denil, Pulkit Agrawal, Tejas D Kulkarni, Tom Erez, Peter Battaglia, Nando de Freitas

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1703.09310 2017-08-01 cs.LG cs.AI cs.RO stat.ML 62%

Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization

Brett W. Israelsen, Nisar Ahmed, Kenneth Center, Roderick Green, Winston Bennett

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments submitted to JAIS for review

1612.03981 2016-12-14 stat.ML cs.AI cs.LG cs.RO 62%

Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions

Brett Israelsen, Nisar Ahmed

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Journal ref BayesOpt Workshop, NIPS 2016

1605.00164 2016-08-09 cs.CV cs.AI cs.LG cs.RO 62%

Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion

Dinesh Jayaraman, Kristen Grauman

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments A preliminary version of the material in this document was filed as University of Texas technical report no. UT AI15-06, December, 2015, at: http://apps.cs.utexas.edu/tech_reports/reports/ai/AI-2214.pdf, ECCV 2016

1602.08017 2016-05-31 cs.AI cs.LG stat.ML 62%

Meta-learning within Projective Simulation

Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 14 pages, 12 figures

Journal ref IEEE Access 4, 2110-2122 (2016)

1510.00878 2016-01-12 cs.LG cs.AI stat.ML 62%

Client Profiling for an Anti-Money Laundering System

Claudio Alexandre, João Balsa

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 7 pages, 15 figures, 3 tables

1412.0436 2015-09-08 cs.MS cs.LG cs.SE stat.CO 62%

An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R

Luis Torgo

专题命中工作流自动化：workflow(abstract)；分类 cs.LG、cs.SE

Comments Updated to version 1.0.2 of the R package. Added a small section on package installation. Made explicit the reference to the R package version number within the document

1107.1322 2015-03-19 cs.AI cs.IR cs.LG 62%

Text Classification: A Sequential Reading Approach

Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments ECIR2011

Journal ref Lecture Notes in Computer Science, 2011, Volume 6611/2011, 411-423

1. 工作流自动化 10469 篇

Automatic Classification of Pathology Reports using TF-IDF Features

On The Stability of Interpretable Models

Enhanced Quantum Synchronization via Quantum Machine Learning

Machine Learning Automation Toolbox (MLaut)

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning

Bayesian Optimization in AlphaGo

Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

Interpreting Models by Allowing to Ask

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Detecting and Explaining Drifts in Yearly Grant Applications

Term Set Expansion based NLP Architect by Intel AI Lab

Learning and Acting in Peripersonal Space: Moving, Reaching, and Grasping

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning

Reinforcement Learning for Autonomous Defence in Software-Defined Networking

Forward-Backward Reinforcement Learning

Non-myopic learning in repeated stochastic games

Towards automation of data quality system for CERN CMS experiment

Generative Adversarial Network for Abstractive Text Summarization

Safe Reinforcement Learning via Shielding

Learning to Perform Physics Experiments via Deep Reinforcement Learning

Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization

Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions

Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion

Meta-learning within Projective Simulation

Client Profiling for an Anti-Money Laundering System

An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R

Text Classification: A Sequential Reading Approach