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

PEOPLE : International Journal of Social Sciences ISSNCONFERENCE PROCEEDINGS 6th International Conference on Teaching, Education and Learning (ICTEL),

Source URL: www.grdsweb.com

The 2nd International Workshop on Advanced Learning Sciences (IWALSOrganizers National Taiwan Normal University (NTNU) Pennsylvania State University (PSU)

Source URL: advancedcenter.top.ntnu.edu.tw

• Kuo-En Chang
• National Taiwan Normal University
• Tung-Tai Lin
• Tokyo University of Foreign Studies
• Ping Li

Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

Source URL: www.anthology.aclweb.org

• Machine learning
• Cognition
• Applied mathematics
• Cognitive science
• Deep learning
• Semi-supervised learning
• Supervised learning
• Feature learning
• Artificial neural network
• Support vector machine
• Deep belief network
• Autoencoder

The 2nd INNS Conference on Big Data 2016 October 23-25, 2016, Thessaloniki, Greece Call for Papers General Chairs Plamen Angelov, Lancaster University, UK

Source URL: conferences.cwa.gr

• Formal sciences
• Learning
• Business intelligence
• Data mining
• Big data
• Transaction processing
• Analytics
• Machine learning
• Artificial neural network
• Internet of things
• Structure mining
• Vasant Honavar

Monocular and Stereo Methods for AAM Learning from Video Jason Saragih1 and Roland Goecke1,2∗ 1 Research School of Information Sciences and Engineering, Australian National University 2 National ICT Australia, Canberra

Source URL: users.cecs.anu.edu.au

Department of Biological Sciences Student Learning Outcome Assessment Report Fall Semester, Department Mission Statement To promote learning and discovery in the biological sciences while functioning as an inclus

Source URL: ira.mst.edu

New Analysis and Algorithm for Learning with Drifting Distributions Mehryar Mohri1,2 and Andres Mu˜noz Medina1 1 Courant Institute of Mathematical Sciences, New York, NY.

Source URL: www.cs.nyu.edu

Learning Resource Metadata Initiative: using schema.org to describe open educational resources. Phil Barker, LMRI project, Cetis & School of Mathematical and Computer Sciences, Heriot-Watt University. .u

Source URL: publications.cetis.org.uk

Real-time challenge balance in an RTS game using rtNEAT Jacob Kaae Olesen, Georgios N. Yannakakis, Member, IEEE, and John Hallam that NEAT is capable of matching the challenge of the AI agent to the skill of a hard-coded

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

• Game design
• Academia
• Leisure
• Cognition
• Formal sciences
• Artificial intelligence
• Video game development
• Dynamic game difficulty balancing
• Reinforcement learning
• Learning
• Neats and scruffies
• Real-time strategy