AIMC Topic: Decision Making

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Multiple Ordinal Regression by Maximizing the Sum of Margins.

IEEE transactions on neural networks and learning systems Oct 27, 2015
Human preferences are usually measured using ordinal variables. A system whose goal is to estimate the preferences of humans and their underlying decision mechanisms requires to learn the ordering of any given sample set. We consider the solution of ...
Algorithms Learning Support Vector Machine Decision Making Humans Neural Networks, Computer
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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...
Brain Mapping Robotics Rotation Movement Neural Networks, Computer Humans Generalization, Psychological Brain Decision Making Imagination
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A similarity-based data warehousing environment for medical images.

Computers in biology and medicine Sep 5, 2015
A core issue of the decision-making process in the medical field is to support the execution of analytical (OLAP) similarity queries over images in data warehousing environments. In this paper, we focus on this issue. We propose imageDWE, a non-conve...
Decision Support Techniques Databases, Factual Brain Computer Simulation Humans Artificial Intelligence Algorithms Child Decision Making Information Storage and Retrieval Breast Neoplasms Diagnostic Imaging Head Male Female Knee Middle Aged Aged Adolescent Adult
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A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task.

Neural networks : the official journal of the International Neural Network Society Aug 20, 2015
Recent work on decision-making field offers an account of dual-system theory for decision-making process. This theory holds that this process is conducted by two main controllers: a goal-directed system and a habitual system. In the reinforcement lea...
Mental Processes Obsessive-Compulsive Disorder Cognition Decision Making Models, Statistical Reaction Time Adaptation, Psychological Evoked Potentials Reinforcement, Psychology Humans Machine Learning Algorithms Computer Simulation
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Robotic Billiards: Understanding Humans in Order to Counter Them.

IEEE transactions on cybernetics Aug 19, 2015
Ongoing technological advances in the areas of computation, sensing, and mechatronics enable robotic-based systems to interact with humans in the real world. To succeed against a human in a competitive scenario, a robot must anticipate the human beha...
Models, Theoretical Decision Making Robotics Social Behavior Humans
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Overtaking method based on sand-sifter mechanism: Why do optimistic value functions find optimal solutions in multi-armed bandit problems?

Bio Systems Jul 10, 2015
A multi-armed bandit problem is a search problem on which a learning agent must select the optimal arm among multiple slot machines generating random rewards. UCB algorithm is one of the most popular methods to solve multi-armed bandit problems. It a...
Uncertainty Game Theory Optimism Humans Machine Learning Algorithms Decision Making Models, Psychological
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Reconciliation of Decision-Making Heuristics Based on Decision Trees Topologies and Incomplete Fuzzy Probabilities Sets.

PloS one Jul 9, 2015
Complex decision making tasks of different natures, e.g. economics, safety engineering, ecology and biology, are based on vague, sparse, partially inconsistent and subjective knowledge. Moreover, decision making economists / engineers are usually not...
Heuristics Models, Theoretical Fuzzy Logic Probability Humans Decision Making Algorithms Decision Trees Decision Support Techniques
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Understanding safety-critical interactions with a home medical device through Distributed Cognition.

Journal of biomedical informatics Jun 6, 2015
As healthcare shifts from the hospital to the home, it is becoming increasingly important to understand how patients interact with home medical devices, to inform the safe and patient-friendly design of these devices. Distributed Cognition (DCog) has...
Female Aged Adult Male Middle Aged Renal Dialysis Residence Characteristics Artificial Intelligence Anthropology, Cultural Software Humans Artifacts Hemodialysis, Home Algorithms Decision Making United Kingdom Patient Safety Data Collection Renal Insufficiency Equipment and Supplies Interior Design and Furnishings
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Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations.

Computational intelligence and neuroscience May 21, 2015
Maximum likelihood classifier (MLC) and support vector machines (SVM) are two commonly used approaches in machine learning. MLC is based on Bayesian theory in estimating parameters of a probabilistic model, whilst SVM is an optimization based nonpara...
Base Sequence Humans Likelihood Functions Machine Learning Databases, Factual Breast Neoplasms Learning Male Female Decision Making
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Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition.

Journal of neurophysiology May 20, 2015
A hallmark of flexible behavior is the brain's ability to dynamically adjust speed and accuracy in decision-making. Recent studies suggested that such adjustments modulate not only the decision threshold, but also the rate of evidence accumulation. H...
Neural Networks, Computer Parietal Lobe Animals Neural Inhibition Neurons Time Factors Psychomotor Performance Action Potentials Synapses Decision Making Haplorhini
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