AIMC Topic: Linear Models

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Deep Neural Networks with Multistate Activation Functions.

Computational intelligence and neuroscience Sep 10, 2015
We propose multistate activation functions (MSAFs) for deep neural networks (DNNs). These MSAFs are new kinds of activation functions which are capable of representing more than two states, including the N-order MSAFs and the symmetrical MSAF. DNNs w...
Algorithms Entropy Linear Models Speech Models, Psychological Stochastic Processes Humans Logistic Models Neural Networks, Computer
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A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility.

IEEE transactions on neural networks and learning systems Aug 28, 2015
In this paper, we study a set of real-time scheduling problems whose objectives can be expressed as piecewise linear utility functions. This model has very wide applications in scheduling-related problems, such as mixed criticality, response time min...
Computer Systems Linear Models Humans Neural Networks, Computer
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Accuracy of Robotic Radiosurgical Liver Treatment Throughout the Respiratory Cycle.

International journal of radiation oncology, biology, physics Aug 21, 2015
PURPOSE: To quantify random uncertainties in robotic radiosurgical treatment of liver lesions with real-time respiratory motion management.
Female Aged Aged, 80 and over Humans Retrospective Studies Liver Neoplasms Robotics Radiography Male Middle Aged Movement Uncertainty Particle Accelerators Fiducial Markers Radiotherapy Setup Errors Respiration Radiotherapy Planning, Computer-Assisted Linear Models Radiosurgery Dose Fractionation, Radiation
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Multistability and Instability of Neural Networks With Discontinuous Nonmonotonic Piecewise Linear Activation Functions.

IEEE transactions on neural networks and learning systems Aug 10, 2015
In this paper, we discuss the coexistence and dynamical behaviors of multiple equilibrium points for recurrent neural networks with a class of discontinuous nonmonotonic piecewise linear activation functions. It is proved that under some conditions, ...
Humans Computer Simulation Time Factors Linear Models Neural Networks, Computer Algorithms
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Predictive Modeling in Race Walking.

Computational intelligence and neuroscience Aug 3, 2015
This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result...
Walking Nonlinear Dynamics Athletes Neural Networks, Computer Humans Linear Models Algorithms
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Stability and synchronization of memristor-based fractional-order delayed neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 31, 2015
Global asymptotic stability and synchronization of a class of fractional-order memristor-based delayed neural networks are investigated. For such problems in integer-order systems, Lyapunov-Krasovskii functional is usually constructed, whereas simila...
Linear Models Feedback Equipment Design Nonlinear Dynamics Neural Networks, Computer Algorithms
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Multistability of memristive Cohen-Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays.

Neural networks : the official journal of the International Neural Network Society Jul 28, 2015
The problem of coexistence and dynamical behaviors of multiple equilibrium points is addressed for a class of memristive Cohen-Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays. By virtue of th...
Neural Networks, Computer Computer Simulation Linear Models Algorithms
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Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 23, 2015
This study introduces the use of multivariate linear regression (MLR) and support vector regression (SVR) models to predict postoperative outcomes in a cohort of patients who underwent surgery for cervical spondylotic myelopathy (CSM). Currently, pre...
Adult Male Support Vector Machine Recovery of Function Middle Aged Humans Female Aged Spinal Cord Diseases Cervical Vertebrae Spondylosis Linear Models
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Machine learning for toxicity characterization of organic chemical emissions using USEtox database: Learning the structure of the input space.

Environment international Jun 20, 2015
Toxicity characterization of chemical emissions in Life Cycle Assessment (LCA) is a complex task which usually proceeds via multimedia (fate, exposure and effect) models attached to models of dose-response relationships to assess the effects on targe...
Machine Learning Organic Chemicals Nonlinear Dynamics Linear Models Humans Environmental Pollutants
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Discriminative clustering via extreme learning machine.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2015
Discriminative clustering is an unsupervised learning framework which introduces the discriminative learning rule of supervised classification into clustering. The underlying assumption is that a good partition (clustering) of the data should yield h...
Supervised Machine Learning Linear Models Algorithms Neural Networks, Computer Cluster Analysis Discriminant Analysis
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