AI Agent - arXivDaily 专题

1707.08551 2017-08-04 cs.LG cs.DC stat.ML 57%

TensorLayer: A Versatile Library for Efficient Deep Learning Development

Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

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

Comments ACM Multimedia 2017

1706.04859 2017-07-27 cs.LG 57%

Sobolev Training for Neural Networks

Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Świrszcz, Razvan Pascanu

专题命中工作流自动化：agent(abstract)；分类 cs.LG

1707.03997 2017-07-14 cs.CL cs.CY 57%

A Web-Based Tool for Analysing Normative Documents in English

John J. Camilleri, Mohammad Reza Haghshenas, Gerardo Schneider

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

1707.01890 2017-07-10 cs.HC cs.CL cs.IR 57%

An Interactive Tool for Natural Language Processing on Clinical Text

Gaurav Trivedi, Phuong Pham, Wendy Chapman, Rebecca Hwa, Janyce Wiebe, Harry Hochheiser

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

Comments 8 pages, 2 figures, 2 tables, Presented at IUI TextVis 2015 Workshop

1704.01398 2017-06-13 cs.SE cs.CE 57%

The Eclipse Integrated Computational Environment

Jay Jay Billings, Andrew R. Bennett, Jordan Deyton, Kasper Gammeltoft, Jonah Graham, Dasha Gorin, Hari Krishnan, Menghan Li, Alexander J. McCaskey, Taylor Patterson, Robert Smith, Gregory R. Watson, Anna Wojtowicz

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

1706.01417 2017-06-06 cs.AI 57%

A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming

Leonardo A. Ferreira, Reinaldo A. C. Bianchi, Paulo E. Santos, Ramon Lopez de Mantaras

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments Submitted to IJCAI 17

1705.07099 2017-06-01 q-bio.QM cs.LG 57%

Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy

Laetitia Le, Camille Marini, Alexandre Gramfort, David Nguyen, Mehdi Cherti, Sana Tfaili, Ali Tfayli, Arlette Baillet-Guffroy, Patrice Prognon, Pierre Chaminade, Eric Caudron, Balázs Kégl

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

1705.10557 2017-05-31 cs.AI 57%

Universal Reinforcement Learning Algorithms: Survey and Experiments

John Aslanides, Jan Leike, Marcus Hutter

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments 8 pages, 6 figures, Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

1705.08245 2017-05-30 cs.AI 57%

Enhanced Experience Replay Generation for Efficient Reinforcement Learning

Vincent Huang, Tobias Ley, Martha Vlachou-Konchylaki, Wenfeng Hu

专题命中工作流自动化：agent(abstract)；分类 cs.AI

1607.07034 2017-05-10 cs.LG 57%

Impact of Physical Activity on Sleep:A Deep Learning Based Exploration

Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed Elmagarmid, Shahrad Taheri, Teresa Arora

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

Journal ref JMIR Mhealth Uhealth 2016;4(4):e125

1503.03974 2017-03-23 cs.DS cs.AI 57%

Hyper Temporal Networks

Carlo Comin, Roberto Posenato, Romeo Rizzi

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

1703.02949 2017-03-09 cs.AI cs.RO 57%

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

Abhishek Gupta, Coline Devin, YuXuan Liu, Pieter Abbeel, Sergey Levine

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments Published as a conference paper at ICLR 2017

1703.01083 2017-03-06 cs.AI 57%

Sequential Plan Recognition

Reuth Mirsky, Roni Stern, Ya'akov, Gal, Meir Kalech

专题命中工作流自动化：agent(abstract)；分类 cs.AI

1703.00838 2017-03-03 cs.AI 57%

SLIM: Semi-Lazy Inference Mechanism for Plan Recognition

Retuh Mirsky, Ya'akov, Gal

专题命中工作流自动化：agent(abstract)；分类 cs.AI

1702.08670 2017-03-01 cs.LG math.OC stat.ML 57%

On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation

Vamsi K Ithapu, Sathya N Ravi, Vikas Singh

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

Comments 87 Pages; 14 figures; Under review

1701.03507 2017-01-16 cs.DC cs.SE 57%

Beyond NGS data sharing and towards open science

Bruno Dantas, Calmenelias Fleitas, Alexandre P. Francisco, José Simão, Cátia Vaz

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

Comments 19 pages, 10 figures

1611.08309 2016-11-28 cs.LG 57%

On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems

Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann

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

Comments 11 pages, Thirty-First AAAI conference on Artificial Intelligence

1611.04581 2016-11-15 cs.LG 57%

How to scale distributed deep learning?

Peter H. Jin, Qiaochu Yuan, Forrest Iandola, Kurt Keutzer

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

Comments Extended version of paper accepted at ML Sys 2016 (at NIPS 2016)

1610.01247 2016-10-06 cs.CL cs.CV 57%

ECAT: Event Capture Annotation Tool

Tuan Do, Nikhil Krishnaswamy, James Pustejovsky

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

Comments 4 pages, 4 figures, ISA workshop 2015

1609.08531 2016-09-28 cs.SE cs.LO 57%

An Empirical Comparison of Formalisms for Modelling and Analysis of Dynamic Reconfiguration of Dependable Systems

Anirban Bhattacharyya, Andrey Mokhov, Ken Pierce

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

Comments 84 pages including 4 appendices, journal paper

1608.05011 2016-08-18 cs.SE 57%

Introduction to the Case Management Model and Notation (CMMN)

Mike A. Marin

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

Comments This tutorial was used as part of a CMMN survey. An interactive but shorter version of this tutorial is available online at http://cmmn.byethost4.com

1607.03649 2016-07-14 cs.SE 57%

LTL-based Verification of Reconfigurable Workflows

Manuel Mazzara

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

Comments arXiv admin note: text overlap with arXiv:1406.1395

1607.00478 2016-07-05 cs.SE 57%

Model Checking of BPMN Models for Reconfigurable Workflows

Juan Carlos Polanco Aguilar, Koji Hasebe, Manuel Mazzara, Kazuhiko Kato

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

Comments Conference of Japan Society for Software Science and Technology, JSSST 2011

1606.05593 2016-06-20 cs.AI 57%

Introspective Agents: Confidence Measures for General Value Functions

Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments Accepted for presentation at the Ninth Conference on Artificial General Intelligence (AGI 2016), 4 pages, 1 figure

1605.06669 2016-05-24 cs.SE 57%

Automatic vs Manual Provenance Abstractions: Mind the Gap

Pinar Alper, Khalid Belhajjame, Carole A. Goble

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

Comments Preprint accepted to the 2016 workshop on the Theory and Applications of Provenance, TAPP 2016

1604.02126 2016-04-08 cs.AI 57%

On Stochastic Belief Revision and Update and their Combination

Gavin Rens

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments Presented at the Sixteenth International Workshop on Non-Monotonic Reasoning, 22-24 April 2016, Cape Town, South Africa. 10 pages

1602.04376 2016-02-16 cs.AI 57%

BPCMont: Business Process Change Management Ontology

Muhammad Fahad

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

Comments 5 pages, 7 Figures

1601.03998 2016-01-18 cs.RO cs.SE 57%

A Model-Driven Engineering Approach for ROS using Ontological Semantics

Stefan Zander, Georg Heppner, Georg Neugschwandtner, Ramez Awad, Marc Essinger, Nadia Ahmed

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

Comments Presented at DSLRob 2015 (arXiv:1601.00877), Stefan Zander, Georg Heppner, Georg Neugschwandtner, Ramez Awad, Marc Essinger and Nadia Ahmed: A Model-Driven Engineering Approach for ROS using Ontological Semantics

1601.00669 2016-01-06 cs.AI 57%

Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches

Agnese Augello, Ignazio Infantino, Antonio Lieto, Giovanni Pilato, Riccardo Rizzo, Filippo Vella

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments 30 pages, 8 figures, to appear in Biologically Inspired Cognitive Architectures 2016

1601.00027 2016-01-05 cs.CV cs.AI 57%

Computational Pathology: Challenges and Promises for Tissue Analysis

Thomas J. Fuchs, Joachim M. Buhmann

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

Journal ref Computerized Medical Imaging and Graphics, vol. 35, 7-8, p. 515-530, 2011

1. 工作流自动化 10535 篇

TensorLayer: A Versatile Library for Efficient Deep Learning Development

Sobolev Training for Neural Networks

A Web-Based Tool for Analysing Normative Documents in English

An Interactive Tool for Natural Language Processing on Clinical Text

The Eclipse Integrated Computational Environment

A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming

Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy

Universal Reinforcement Learning Algorithms: Survey and Experiments

Enhanced Experience Replay Generation for Efficient Reinforcement Learning

Impact of Physical Activity on Sleep:A Deep Learning Based Exploration

Hyper Temporal Networks

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

Sequential Plan Recognition

SLIM: Semi-Lazy Inference Mechanism for Plan Recognition

On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation

Beyond NGS data sharing and towards open science

On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems

How to scale distributed deep learning?

ECAT: Event Capture Annotation Tool

An Empirical Comparison of Formalisms for Modelling and Analysis of Dynamic Reconfiguration of Dependable Systems

Introduction to the Case Management Model and Notation (CMMN)

LTL-based Verification of Reconfigurable Workflows

Model Checking of BPMN Models for Reconfigurable Workflows

Introspective Agents: Confidence Measures for General Value Functions

Automatic vs Manual Provenance Abstractions: Mind the Gap

On Stochastic Belief Revision and Update and their Combination

BPCMont: Business Process Change Management Ontology

A Model-Driven Engineering Approach for ROS using Ontological Semantics

Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches

Computational Pathology: Challenges and Promises for Tissue Analysis