AIMC Topic: Models, Statistical

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A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning.

PloS one Nov 4, 2015
A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that ...
Adult Robotics Humans Task Performance and Analysis Bayes Theorem Infant Models, Psychological Models, Statistical Algorithms Imitative Behavior Goals Learning
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Outcome Prediction in Clinical Treatment Processes.

Journal of medical systems Oct 29, 2015
Clinical outcome prediction, as strong implications for health service delivery of clinical treatment processes (CTPs), is important for both patients and healthcare providers. Prior studies typically use a priori knowledge, such as demographics or p...
Outcome and Process Assessment, Health Care Machine Learning Algorithms Electronic Health Records Hospitalization Models, Statistical Humans Data Mining
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Robust fixed-time synchronization of delayed Cohen-Grossberg neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 26, 2015
The fixed-time master-slave synchronization of Cohen-Grossberg neural networks with parameter uncertainties and time-varying delays is investigated. Compared with finite-time synchronization where the convergence time relies on the initial synchroniz...
Models, Statistical Uncertainty Neural Networks, Computer Algorithms Time Factors
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One pass learning for generalized classifier neural network.

Neural networks : the official journal of the International Neural Network Society Oct 26, 2015
Generalized classifier neural network introduced as a kind of radial basis function neural network, uses gradient descent based optimized smoothing parameter value to provide efficient classification. However, optimization consumes quite a long time ...
Data Interpretation, Statistical Normal Distribution Algorithms Reproducibility of Results Models, Statistical Neural Networks, Computer Machine Learning
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Global O(t(-α)) stability and global asymptotical periodicity for a non-autonomous fractional-order neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2015
The present paper studies global O(t(-α)) stability and global asymptotical periodicity for a non-autonomous fractional-order neural networks with time-varying delays (FDNN). Firstly, some sufficient conditions are established to ensure that a non-au...
Periodicity Neural Networks, Computer Algorithms Time Factors Models, Statistical
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Extracting motor synergies from random movements for low-dimensional task-space control of musculoskeletal robots.

Bioinspiration & biomimetics Oct 8, 2015
In the field of human motor control, the motor synergy hypothesis explains how humans simplify body control dimensionality by coordinating groups of muscles, called motor synergies, instead of controlling muscles independently. In most applications o...
Models, Statistical Muscle, Skeletal Robotics Humans Computer Simulation Arm Muscle Contraction Movement Postural Balance Models, Biological Biomimetics Feedback, Physiological
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Imparting protean behavior to mobile robots accomplishing patrolling tasks in the presence of adversaries.

Bioinspiration & biomimetics Oct 8, 2015
Providing unpredictable trajectories for patrol robots is essential when coping with adversaries. In order to solve this problem we developed an effective approach based on the known protean behavior of individual prey animals-random zig-zag movement...
Motion Models, Statistical Biomimetics Robotics Computer Simulation Predatory Behavior Adaptation, Physiological Models, Biological Animals Escape Reaction
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Using Wearable Sensors and Machine Learning Models to Separate Functional Upper Extremity Use From Walking-Associated Arm Movements.

Archives of physical medicine and rehabilitation Oct 3, 2015
OBJECTIVE: To improve measurement of upper extremity (UE) use in the community by evaluating the feasibility of using body-worn sensor data and machine learning models to distinguish productive prehensile and bimanual UE activity use from extraneous ...
Middle Aged Case-Control Studies Models, Statistical Machine Learning Young Adult Adult Walking Humans Artificial Limbs Feasibility Studies Movement Upper Extremity Transducers
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Hidden Markov model using Dirichlet process for de-identification.

Journal of biomedical informatics Sep 25, 2015
For the 2014 i2b2/UTHealth de-identification challenge, we introduced a new non-parametric Bayesian hidden Markov model using a Dirichlet process (HMM-DP). The model intends to reduce task-specific feature engineering and to generalize well to new da...
Vocabulary, Controlled Cohort Studies Newfoundland and Labrador Models, Statistical Narration Markov Chains Natural Language Processing Machine Learning Pattern Recognition, Automated Confidentiality Computer Simulation Computer Security Data Mining Electronic Health Records
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Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.

Omics : a journal of integrative biology Sep 25, 2015
Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place in integrative biology, not to mention as targets for novel vaccine, pharmaceutical, and systems diagnostics development. The presence of T-cell and ...
Support Vector Machine Models, Statistical Amino Acid Sequence Datasets as Topic Molecular Sequence Data Epitopes, B-Lymphocyte Software Sensitivity and Specificity Computational Biology Humans
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