Volume 61 Masthead

Published: 2018-04-20

Articles

Learning Explanatory Rules from Noisy Data

Richard Evans, Edward Grefenstette

1-64

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Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

Albert Gatt, Emiel Krahmer

65-170

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Bisimulations on Data Graphs

Sergio Abriola, Pablo Barceló, Diego Figueira, Santiago Figueira

171-213

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From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning

George Konidaris, Leslie Pack Kaelbling, Tomas Lozano-Perez

215-289

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Linear Satisfiability Preserving Assignments

Kei Kimura, Kazuhisa Makino

291-321

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KABouM: Knowledge-Level Action and Bounding Geometry Motion Planner

Andre Gaschler, Ronald P. A. Petrick, Oussama Khatib, Alois Knoll

323-362

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Actively Estimating Crowd Annotation Consensus

Yunus Emre Kara, Gaye Genc, Oya Aran, Lale Akarun

363-405

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Cycles and Intractability in a Large Class of Aggregation Rules

William S. Zwicker

407-431

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Coordinating Measurements in Uncertain Participatory Sensing Settings

Alexandros Zenonos, Sebastian Stein, Nicholas R. Jennings

433-474

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Fact-Alternating Mutex Groups for Classical Planning

Daniel Fišer, Antonín Komenda

475-521

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Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew Hausknecht, Michael Bowling

523-562

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On the Behavior of Convolutional Nets for Feature Extraction

Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonatan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

563-592

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Fully Observable Non-deterministic Planning as Assumption-Based Reactive Synthesis

Nicolás D'Ippolito, Natalia Rodrı́guez, Sebastian Sardina

593-621

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Distributed Constraint Optimization Problems and Applications: A Survey

Ferdinando Fioretto, Enrico Pontelli, William Yeoh

623-698

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Trust as a Precursor to Belief Revision

Richard Booth, Aaron Hunter

699-722

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When Subgraph Isomorphism is Really Hard, and Why This Matters for Graph Databases

Ciaran McCreesh, Patrick Prosser, Christine Solnon, James Trimble

723-759

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Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm

Yury Maximov, Massih-Reza Amini, Zaid Harchaoui

761-786

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Symbol Grounding Association in Multimodal Sequences with Missing Elements

Federico Raue, Andreas Dengel, Thomas M. Breuel, Marcus Liwicki

787-806

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Belief Update within Propositional Fragments

Nadia Creignou, Raïda Ktari, Odile Papini

807-834

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Corpus-Level Fine-Grained Entity Typing

Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schuetze

835-862

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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Alberto Fernandez, Salvador Garcia, Francisco Herrera, Nitesh V. Chawla

863-905

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Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure

Dieuwke Hupkes, Sara Veldhoen, Willem Zuidema

907-926

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Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules?

Raquel G. Alhama, Willem Zuidema

927-946

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From Feature To Paradigm: Deep Learning In Machine Translation

Marta R. Costa-jussà

947-974

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