! Revised August 26, 2013 7:44 AM! 1

Source URL: kiwi.atmos.colostate.edu

• Mathematical analysis
• Partial differential equations
• Mathematics
• Academia
• Climate modeling
• Computational science
• Continuum mechanics
• Aerodynamics
• Finite element method
• Numerical weather prediction
• Differential equation
• Atmospheric model

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

Source URL: rpg.ifi.uzh.ch

• Computational neuroscience
• Applied mathematics
• Formal sciences
• Cybernetics
• Cognitive science
• Academia
• Artificial neural networks
• Computer vision
• Deep learning
• Robotics
• Convolutional neural network
• Optical flow

On the Study of the Ethernet Franz T. Shenkrishnan, Ph.D. 1 Motivation

Source URL: pdos.csail.mit.edu

• Applied mathematics
• Computational neuroscience
• Computational statistics
• Algorithm
• Mathematical logic
• Theoretical computer science
• Artificial neural network
• Mathematics

Journal of Machine Learning Research Submitted 8/07; Revised 2/08; Published 5/08 Accelerated Neural Evolution through Cooperatively Coevolved Synapses

Source URL: people.idsia.ch

• Artificial neural networks
• Applied mathematics
• Artificial intelligence
• Evolutionary algorithms
• Machine learning
• Evolutionary computation
• Cybernetics
• Computational statistics
• Neuroevolution
• Coevolution
• Cooperative coevolution
• Genetic algorithm

Reconciling molecular phylogenies with the fossil record Hélène Morlona,b,1, Todd L. Parsonsb, and Joshua B. Plotkinb a Center for Applied Mathematics, Ecole Polytechnique, 91128 Palaiseau, France; and bBiology Depart

Source URL: www.biologie.ens.fr

• Biology
• Evolutionary biology
• Phylogenetics
• Molecular evolution
• Evolution
• Speciation
• Computational phylogenetics
• Molecular clock
• Coalescent theory
• Molecular phylogenetics
• Extinction
• Macroevolution

Theories and Ordinals: Ordinal Analysis Michael Rathjen Department of Pure Mathematics, University of Leeds Leeds LS2 9JT, United Kingdom How do ordinals measure the strength and computational power of formal

Source URL: www1.maths.leeds.ac.uk

A PARTICLE SWARM OPTIMIZATION HYPER-HEURISTIC FOR THE DYNAMIC VEHICLE ROUTING PROBLEM Michal Okulewicz, Jacek Ma´ ndziuk Faculty of Mathematics and Information Science, Warsaw University of Technology,

Source URL: bioma.ijs.si

• Operations research
• Mathematical optimization
• Mathematics
• Applied mathematics
• Computational complexity theory
• NP-complete problems
• Cybernetics
• Evolutionary algorithms
• Ant colony optimization algorithms
• Particle swarm optimization
• Swarm intelligence
• Hyper-heuristic

Frankenstein: Learning Deep Face Representations using Small Data Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy Hospedales, Jakob Verbeek To cite this version:

Source URL: hal.inria.fr

• Artificial intelligence
• Learning
• Machine learning
• Computational neuroscience
• Applied mathematics
• Face recognition
• Artificial neural networks
• Computer vision
• Deep learning
• Convolutional neural network
• Eigenface
• Facial recognition system

Virtual Bagging for an Evolved Agent Controller Bobby D. Bryant, Member, IEEE is, if the optimal action in a given environment is to move to the left, then the optimal action in a mirror image of that environment would b

Source URL: game.itu.dk

• Computational statistics
• Machine learning
• Applied mathematics
• Ensemble learning
• Statistics
• Computational neuroscience
• Bootstrap aggregating
• Agent-based model
• Artificial neural network
• Simulation
• Neuroevolution

! Revised September 21, 2015 8:48 AM! 1

Source URL: kiwi.atmos.colostate.edu

• Numerical analysis
• Mathematical analysis
• Calculus
• Applied mathematics
• Computational fluid dynamics
• Multivariable calculus
• Truncation error
• Partial differential equation
• Differential equation
• Discretization error
• Finite difference method
• Numerical methods in fluid mechanics