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Controlling the Solo12 quadruped robot with deep reinforcement learning

Scientific reports, 2023-07, Vol.13 (1), p.11945-11945, Article 11945

2023

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Identification of toxicologically predictive gene sets using cDNA microarrays

Molecular pharmacology, 2001-12, Vol.60 (6), p.1189-1194

2001

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What distinguishes people who turn into tax evaders when properly incentivized from those who don’t? An experimental study using hypothetical scenarios

Journal of behavioral and experimental economics, 2020-04, Vol.85, p.101511, Article 101511

2020

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Scalable transfer learning in heterogeneous, dynamic environments

Artificial intelligence, 2017-06, Vol.247, p.70-94

2017

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Bayesian network Fisher kernel for categorical feature spaces

Behaviormetrika, 2020, Vol.47 (1), p.81-103

2020

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Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies

BMC proceedings, 2011-05, Vol.5 Suppl 3 (S3), p.S8-S8, Article S8

2011

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Using New Models to Analyze Complex Regularities of the World: Commentary on Musso et al. (2013)

Frontline learning research, 2014-06, Vol.2 (1), p.78

2014

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Learning locally minimax optimal Bayesian networks

International journal of approximate reasoning, 2010-06, Vol.51 (5), p.544-557

2010

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To Demarcate or Not to Demarcate: Analysis of Marked Versus Unmarked On-Street Parking Efficiency

Transportation research record, 2016, Vol.2562 (1), p.18-27

2016

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Using New Models to Analyze Complex Regularities of the World

Frontline learning research, 2014-05, Vol.2 (1)

Nokelainen, Petri

2014

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Learning locally minimax optimal Bayesian networks: PGM-2008

International journal of approximate reasoning, 2010, Vol.51 (5), p.544-557

2010

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A Comparison of Baysian Approaches to Learning in Fault Isolation

Pattern recognition letters, 2009

2009

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Learning probabilistic decision graphs

International journal of approximate reasoning, 2006-05, Vol.42 (1), p.84-100

2006

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A Dynamic Programming Algorithm for Learning Chain Event Graphs

Discovery Science, 2013, Vol.8140, p.201-216

2013

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Unsupervised medical image classification by combining case-based classifiers

Studies in health technology and informatics, 2013, Vol.192, p.739

2013

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An automated pathological class level annotation system for volumetric brain images

AMIA ... Annual Symposium proceedings, 2012, Vol.2012, p.1201-1210

2012

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A Hierarchical Scheme for Adapting Learned Quadruped Locomotion

2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), 2023, p.1-8

2023

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A generative model based approach to retrieving ischemic stroke images

AMIA ... Annual Symposium proceedings, 2011, Vol.2011, p.312-321

2011

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Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury

2014 22nd International Conference on Pattern Recognition, 2014, p.3245-3250

2014

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Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies

BMC proceedings, 2011-05, Vol.5 (Suppl 3), p.S8-S8

2011

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EDUFORM--A Tool for Creating Adaptive Questionnaires

International journal on e-learning, 2005-07, Vol.4 (3), p.365

2005

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Supervised model-based visualization of high-dimensional data

Intelligent data analysis, 2000-07, Vol.4 (3-4), p.213-227

2000

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On Bayesian case matching

Advances in Case-Based Reasoning, 1998, p.13-24

1998

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B-COURSE: A WEB-BASED TOOL FOR BAYESIAN AND CAUSAL DATA ANALYSIS

International journal on artificial intelligence tools, 2002-09, Vol.11 (3), p.369-387

2002

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Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy

Proceedings of the International Conference on Automated Planning and Scheduling, 2014, Vol.24, p.181-189

2014

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Controlling the Solo12 quadruped robot with deep reinforcement learning

Identification of toxicologically predictive gene sets using cDNA microarrays

What distinguishes people who turn into tax evaders when properly incentivized from those who don’t? An experimental study using hypothetical scenarios

Scalable transfer learning in heterogeneous, dynamic environments

Bayesian network Fisher kernel for categorical feature spaces

Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies

Using New Models to Analyze Complex Regularities of the World: Commentary on Musso et al. (2013)

Learning locally minimax optimal Bayesian networks

To Demarcate or Not to Demarcate: Analysis of Marked Versus Unmarked On-Street Parking Efficiency

Using New Models to Analyze Complex Regularities of the World

Learning locally minimax optimal Bayesian networks: PGM-2008

A Comparison of Baysian Approaches to Learning in Fault Isolation

Learning probabilistic decision graphs

A Dynamic Programming Algorithm for Learning Chain Event Graphs

Unsupervised medical image classification by combining case-based classifiers

An automated pathological class level annotation system for volumetric brain images

A Hierarchical Scheme for Adapting Learned Quadruped Locomotion

A generative model based approach to retrieving ischemic stroke images

Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury

Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies

EDUFORM--A Tool for Creating Adaptive Questionnaires

Supervised model-based visualization of high-dimensional data

On Bayesian case matching

B-COURSE: A WEB-BASED TOOL FOR BAYESIAN AND CAUSAL DATA ANALYSIS

Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy

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