Multi-Cue Zero-Shot Learning with Strong Supervision Zeynep Akata, Mateusz Malinowski, Mario Fritz and Bernt Schiele arXiv:1603.08754v1 [cs.CV] 29 MarMax-Planck Institute for Informatics

Source URL: arxiv.org

• Artificial neural networks
• Artificial intelligence
• Computing
• Computational neuroscience
• Cybernetics
• Machine learning
• Word2vec
• Word embedding
• Automatic image annotation
• Convolutional neural network
• Annotation
• Attribute

Spatio-Temporal Image Boundary Extrapolation arXiv:1605.07363v1 [cs.CV] 24 May 2016 Apratim Bhattacharyya Max Planck Institute for Informatics

Source URL: arxiv.org

• Artificial neural networks
• Computational neuroscience
• Cybernetics
• Applied mathematics
• Neuroscience
• Computational statistics
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Image segmentation
• Physics
• Prediction

IEEE TRANSACTIONS ON INFORMATION THEORY,

Source URL: www.ifp.illinois.edu

• Cybernetics
• Information Age
• Information theory
• Group code

Scaling-up Behaviours in EvoTanks: Applying Subsumption Principles to Artificial Neural Networks Thomas Thompson and John Levine Abstract— Applying evolution to generate simple agent behaviours has become a successful

Source URL: www.csse.uwa.edu.au

• Artificial intelligence
• Computational neuroscience
• Cybernetics
• Multi-agent systems
• Computational statistics
• Subsumption architecture
• Artificial neural network
• Evolutionary robotics
• Agent-based model
• Computational intelligence
• Genetic algorithm
• Neuroevolution

THE EXPONENTIAL CROSSOVER IN L-SHADE ALGORITHM Radka Pol´akov´a Centre of Excellence IT4Innovations, Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic radka.polakova@osu.c

Source URL: bioma.ijs.si

• Mathematical optimization
• Evolutionary algorithms
• Cybernetics
• Operations research
• Genetic algorithms
• Differential evolution
• Crossover
• NP
• Algorithm
• Normal distribution

Microsoft Word - Applying GA for Reward Allotment in an Event-driven Hybrid Learning Classifier System for Soccer Video Games

Source URL: www.csse.uwa.edu.au

• Applied mathematics
• Cybernetics
• Artificial intelligence
• Machine learning
• Evolutionary algorithms
• Mathematical optimization
• Search algorithms
• Learning classifier system
• Genetic algorithm
• Q-learning
• Reinforcement learning
• Statistical classification

Design and Evaluation of an 
 Extended Learning Classifier-based 
 StarCraft Micro AI In particular, we implemented and co-evolved one defensive AI, one aggressive one, one that focuses on exploration and one where X

Source URL: www.vonmammen.org

• Artificial intelligence
• Computational neuroscience
• Cybernetics

Quantization causes waves Smooth finitely computable functions are affine Vladimir Anashin Faculty of Computational Mathematics and Cybernetics Faculty of Physics

Source URL: p-adics2015.matf.bg.ac.rs

Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning Jan Koutník Giuseppe Cuccu

Source URL: people.idsia.ch

• Artificial neural networks
• Cybernetics
• Applied mathematics
• Machine learning
• Recurrent neural network
• Backpropagation
• Jrgen Schmidhuber
• Deep learning
• Types of artificial neural networks

TMRF e-Book Advanced Knowledge Based Systems: Model, Applications & Research (Eds. Sajja & Akerkar), Vol. 1, pp 126 – 159, 2010

Source URL: www.tmrfindia.org

• Genetic algorithms
• Cybernetics
• Applied mathematics
• Evolutionary algorithms
• Cognitive science
• Artificial intelligence
• Mathematical optimization
• Evolution
• Ant colony optimization algorithms
• Swarm intelligence
• Crossover
• Evolutionary computation