AIMC Topic: Transfer, Psychology

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DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Nature neuroscience Aug 20, 2018
Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis ca...
Deep Learning Mice Posture Humans Mice, Inbred C57BL Neural Networks, Computer Algorithms Animals Male Drosophila melanogaster Nerve Net Odorants Behavior Psychomotor Performance Transfer, Psychology Video Recording Behavior, Animal
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Sensor Fusion for Myoelectric Control Based on Deep Learning With Recurrent Convolutional Neural Networks.

Artificial organs Jul 13, 2018
Electromyogram (EMG) signal decoding is the essential part of myoelectric control. However, traditional machine learning methods lack the capability of learning and expressing the information contained in EMG signals, and the robustness of the myoele...
Male Deep Learning Support Vector Machine Muscle, Skeletal Electromyography Neural Networks, Computer Transfer, Psychology Algorithms Female Humans Adult
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Transductive Joint-Knowledge-Transfer TSK FS for Recognition of Epileptic EEG Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 25, 2018
Intelligent recognition of electroencephalogram (EEG) signals is an important means to detect seizure. Traditional methods for recognizing epileptic EEG signals are usually based on two assumptions: 1) adequate training examples are available for mod...
Young Adult Male Infant Signal Processing, Computer-Assisted Adolescent Fuzzy Logic Humans Transfer, Psychology Machine Learning Child, Preschool Electroencephalography Artificial Intelligence Epilepsy Algorithms Child Seizures Female Models, Theoretical Support Vector Machine
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Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 1, 2017
Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG signals by doctors, machine learning approaches can be faster and more consistent. However, the class...
Epilepsy Seizures Supervised Machine Learning Pattern Recognition, Automated Transfer, Psychology Support Vector Machine Fuzzy Logic Models, Statistical Electroencephalography Software Algorithms Reproducibility of Results Humans
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Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.

IEEE transactions on neural networks and learning systems Apr 17, 2017
The reinforcement learning (RL) paradigm allows agents to solve tasks through trial-and-error learning. To be capable of efficient, long-term learning, RL agents should be able to apply knowledge gained in the past to new tasks they may encounter in ...
Algorithms Computer Simulation Predictive Value of Tests Knowledge Reinforcement, Psychology Spatial Navigation Transfer, Psychology Humans Neural Networks, Computer
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Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning.

Cognitive processing Feb 25, 2017
In humans, efficient recognition of written symbols is thought to rely on a hierarchical processing system, where simple features are progressively combined into more abstract, high-level representations. Here, we present a computational model of Per...
Humans Neural Networks, Computer Machine Learning Computer Simulation Handwriting Learning Transfer, Psychology Unsupervised Machine Learning Supervised Machine Learning
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Generalization Bounds Derived IPM-Based Regularization for Domain Adaptation.

Computational intelligence and neuroscience Dec 27, 2015
Domain adaptation has received much attention as a major form of transfer learning. One issue that should be considered in domain adaptation is the gap between source domain and target domain. In order to improve the generalization ability of domain ...
Probability Generalization, Psychological Transfer, Psychology Artificial Intelligence Models, Theoretical Regression Analysis Supervised Machine Learning Humans
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A rational model of function learning.

Psychonomic bulletin & review Mar 3, 2015
Theories of how people learn relationships between continuous variables have tended to focus on two possibilities: one, that people are estimating explicit functions, or two that they are performing associative learning supported by similarity. We pr...
Normal Distribution Linear Models Humans Association Learning Models, Psychological Transfer, Psychology Machine Learning Concept Formation Bayes Theorem Problem Solving
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Robust sensorimotor representation to physical interaction changes in humanoid motion learning.

IEEE transactions on neural networks and learning systems Jul 10, 2014
This paper proposes a learning from demonstration system based on a motion feature, called phase transfer sequence. The system aims to synthesize the knowledge on humanoid whole body motions learned during teacher-supported interactions, and apply th...
Functional Laterality Knowledge Motor Activity Symbolism Humans Robotics Computer Simulation Walking Learning Motion Time Factors Transfer, Psychology
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Transfer learning for visual categorization: a survey.

IEEE transactions on neural networks and learning systems Jul 1, 2014
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the ...
Algorithms Visual Perception Surveys and Questionnaires Transfer, Psychology Models, Theoretical Knowledge Humans Neural Networks, Computer Machine Learning
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