AIMC Topic: Generalization, Psychological

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A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition.

Neural computation Jun 12, 2018
Transposition is a tendency for organisms to generalize relationships between stimuli in situations where training does not objectively reward relationships over absolute, static associations. Transposition has most commonly been explained as either ...
Animals Models, Neurological Generalization, Psychological Discrimination, Psychological Humans Neural Networks, Computer Computer Simulation
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The temporal evolution of conceptual object representations revealed through models of behavior, semantics and deep neural networks.

NeuroImage May 17, 2018
Visual object representations are commonly thought to emerge rapidly, yet it has remained unclear to what extent early brain responses reflect purely low-level visual features of these objects and how strongly those features contribute to later categ...
Generalization, Psychological Pattern Recognition, Visual Magnetoencephalography Models, Theoretical Cerebral Cortex Concept Formation Adult Male Neural Networks, Computer Middle Aged Humans Female Deep Learning Young Adult Functional Neuroimaging Time Factors
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Stacked generalization: an introduction to super learning.

European journal of epidemiology Apr 10, 2018
Stacked generalization is an ensemble method that allows researchers to combine several different prediction algorithms into one. Since its introduction in the early 1990s, the method has evolved several times into a host of methods among which is th...
Humans Machine Learning Algorithms Models, Statistical Generalization, Psychological
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On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition.

IEEE transactions on neural networks and learning systems Jan 17, 2018
Online learning has been successfully applied in various machine learning problems. Conventional analysis of online learning achieves a sharp generalization bound with a strongly convex assumption. In this paper, we study the generalization ability o...
Humans Neural Networks, Computer Machine Learning Algorithms Education, Distance Generalization, Psychological
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The effectiveness of robotic training depends on motor task characteristics.

Experimental brain research Oct 5, 2017
Previous research suggests that the effectiveness of robotic training depends on the motor task to be learned. However, it is still an open question which specific task's characteristics influence the efficacy of error-modulating training strategies....
Movement Generalization, Psychological Teaching Male Time Factors Robotics Motivation Linear Models Motor Skills Female Young Adult Adult Humans
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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 ...
Generalization, Psychological Transfer, Psychology Humans Artificial Intelligence Models, Theoretical Regression Analysis Supervised Machine Learning Probability
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A connectionist model of the retreat from verb argument structure overgeneralization.

Journal of child language Nov 16, 2015
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., The boy gave a present to the girl → The boy gave the girl a present), whilst appr...
Computer Simulation Female Male Child, Preschool Child Intention Humans Neural Networks, Computer Linguistics Generalization, Psychological Semantics Language Development Comprehension Concept Formation
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Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot.

Neural networks : the official journal of the International Neural Network Society Oct 3, 2015
Mental rotation, a classic experimental paradigm of cognitive psychology, tests the capacity of humans to mentally rotate a seen object to decide if it matches a target object. In recent years, mental rotation has been investigated with brain imaging...
Decision Making Imagination Brain Mapping Rotation Robotics Movement Humans Generalization, Psychological Neural Networks, Computer Brain
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Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set.

IEEE transactions on neural networks and learning systems Feb 26, 2015
In practical machine learning applications, human instruction is indispensable for model construction. To utilize the precious labeling effort effectively, active learning queries the user with selective sampling in an interactive way. Traditional ac...
Problem-Based Learning Handwriting Humans Generalization, Psychological Algorithms Neural Networks, Computer Models, Theoretical Information Storage and Retrieval
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Is extreme learning machine feasible? A theoretical assessment (part I).

IEEE transactions on neural networks and learning systems Jul 21, 2014
An extreme learning machine (ELM) is a feedforward neural network (FNN) like learning system whose connections with output neurons are adjustable, while the connections with and within hidden neurons are randomly fixed. Numerous applications have dem...
Models, Neurological Algorithms Generalization, Psychological Humans Neurons Computer Simulation Neural Networks, Computer Nerve Net Learning Artificial Intelligence
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