01-29-2020
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Bayesian Reasoning with Deep-Learned Knowledge
by
Jakob Knollmüller
et al
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01-30-2020
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STRIPS Action Discovery
by
Alejandro Suárez-Hernández
et al
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01-29-2020
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Human Action Performance using Deep Neuro-Fuzzy
Recurrent Attention Model
by
Nihar Bendre
et al
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01-29-2020
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MEMO: A Deep Network for Flexible Combination of
Episodic Memories
by
Andrea Banino
et al
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01-28-2020
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An Adaptive and Near Parameter-free Evolutionary
Computation Approach Towards True Automation in AutoML
by
Benjamin Patrick Evans
et al
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01-29-2020
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On Constraint Definability in Tractable Probabilistic
Models
by
Ioannis Papantonis
et al
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01-29-2020
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Proceedings of Symposium on Data Mining Applications
2014
by
Basit Qureshi
et al
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01-30-2020
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Tackling Air Traffic Conflicts as a Weighted CSP :
Experiments with the Lumberjack Method
by
Thomas Chaboud
et al
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01-29-2020
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The Tensor Brain: Semantic Decoding for Perception and
Memory
by
Volker Tresp
et al
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01-28-2020
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Facebook Ads Monitor: An Independent Auditing System
for Political Ads on Facebook
by
Márcio Silva
et al
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01-29-2020
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Interventions and Counterfactuals in Tractable
Probabilistic Models: Limitations of Contemporary
Transformations
by
Ioannis Papantonis
et al
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01-30-2020
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Black-Box Saliency Map Generation Using Bayesian
Optimisation
by
Mamuku Mokuwe
et al
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01-29-2020
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Fictitious Play Outperforms Counterfactual Regret
Minimization
by
Sam Ganzfried
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01-28-2020
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Bounded Incentives in Manipulating the Probabilistic
Serial Rule
by
Zihe Wang
et al
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01-29-2020
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On the Convergence of Artificial Intelligence and
Distributed Ledger Technology: A Scoping Review and
Future Research Agenda
by
Konstantin D. Pandl
et al
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01-29-2020
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Towards Multi-perspective conformance checking with
fuzzy sets
by
Sicui Zhang
et al
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01-28-2020
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Towards Learning Multi-agent Negotiations via Self-Play
by
Yichuan Charlie Tang
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01-28-2020
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EEG-based Brain-Computer Interfaces (BCIs): A Survey of
Recent Studies on Signal Sensing Technologies and
Computational Intelligence Approaches and their
Applications
by
Xiaotong Gu
et al
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01-29-2020
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Bayesian Neural Architecture Search using A
Training-Free Performance Metric
by
Andrés Camero
et al
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01-30-2020
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Scalable Psychological Momentum Forecasting in Esports
by
Alfonso White
et al
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01-30-2020
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Improving the Robustness of Graphs through
Reinforcement Learning and Graph Neural Networks
by
Victor-Alexandru Darvariu
et al
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01-29-2020
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Stochastic L-system Inference from Multiple String
Sequence Inputs
by
Jason Bernard
et al
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01-29-2020
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AMR Similarity Metrics from Principles
by
Juri Opitz
et al
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01-29-2020
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Asymptotically Efficient Off-Policy Evaluation for
Tabular Reinforcement Learning
by
Ming Yin
et al
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01-30-2020
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Introducing the diagrammatic mode
by
Tuomo Hiippala
et al
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01-28-2020
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Causal query in observational data with hidden
variables
by
Debo Cheng
et al
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01-28-2020
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Distal Explanations for Explainable Reinforcement
Learning Agents
by
Prashan Madumal
et al
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01-28-2020
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The KEEN Universe: An Ecosystem for Knowledge Graph
Embeddings with a Focus on Reproducibility and
Transferability
by
Mehdi Ali
et al
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01-30-2020
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Fase-AL -- Adaptation of Fast Adaptive Stacking of
Ensembles for Supporting Active Learning
by
Agustín Alejandro Ortiz-Díaz
et al
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01-30-2020
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HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit
for Algorithm Selection
by
Mischa Schmidt
et al
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01-28-2020
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Parameter Sharing in Coagent Networks
by
Modjtaba Shokrian Zini
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