arXiv:1406.1833v2 [cs.NE] 10 JunUnsupervised Feature Learning through Divergent Discriminative Feature Accumulation Paul A. Szerlip, Gregory Morse, Justin K. Pugh, and Kenneth O. Stanley Department EECS (Computer

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Learning
• Applied mathematics
• Evolutionary algorithms
• Computational neuroscience
• Evolutionary computation
• Neuroevolution
• Deep learning
• HyperNEAT
• Feature learning

Ten Years of Engagement, Capacity and Continuity: Reflections on a Trilogy for Student Success Patricia B. Campbell, PhD Campbell-Kibler Associates, Inc. Eric J. Jolly, PhD Science Museum of Minnesota

Source URL: www.campbell-kibler.com

• Computer memory
• Trilogy
• Foundation series
• Open NAND Flash Interface Working Group
• Science
• technology
• engineering
• and mathematics
• The Divergent Series
• Science education

On the Benefits of Divergent Search for Evolved Representations To appear in: Proceedings of the EvoNet2012 Workshop at the Thirteenth International Conference on Artificial Life (ALIFE XIII). Joel Lehman

Source URL: eplex.cs.ucf.edu

• Evolution
• Biology
• Nature
• Applied mathematics
• Evolutionary algorithm
• Neuroevolution
• Evolutionary computation
• Evolvability
• Genetic programming
• Robustness
• Genetic algorithm
• Outline of evolution

Base-Pair Resolution DNA Methylation Sequencing Reveals Profoundly Divergent Epigenetic Landscapes in Acute Myeloid Leukemia Altuna Akalin1., Francine E. Garrett-Bakelman2., Matthias Kormaksson3, Jennifer Busuttil2, Lu Z

Source URL: epicore.med.cornell.edu

Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAIPalo Alto, CA: AAAI Press. Paul A. Szerlip

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Learning
• Applied mathematics
• Evolutionary algorithms
• Computational neuroscience
• Evolutionary computation
• Neuroevolution
• Deep learning
• HyperNEAT
• Feature learning

Diversity in development: the case of divergent coffeeproducing paths in the Lake Kivu areaSven Van Melkebeke (mailto ) Supervisor: Prof. Dr. Eric Vanhaute a/ Context and research q

Source URL: www.wehc2015.org

Article: Investigations Codon and amino acid usage are shaped by selection across divergent model organisms of the Pancrustacea Authors: Carrie A. Whittle*, Cassandra G. Extavour*,† *

Source URL: www.extavourlab.com

Planning for Questions Use this worksheet to plan for how you will include effective, divergent questions throughout an activity that encourages youth success. Try to create three divergent questions for each section. Ac

Source URL: edfundwest.org

INTERPERSONAL RELATIONS AND GROUP PROCESSES To Be Liked Versus Respected: Divergent Goals in Interracial Interactions Hilary B. Bergsieker and J. Nicole Shelton Jennifer A. Richeson

Source URL: groups.psych.northwestern.edu

PRODUCTION ON ALLEGIANT – PART 1, THE THIRD INSTALLMENT OF THE DIVERGENT FRANCHISE, COMMENCES TODAY Santa Monica, CA – May 20, 2015 – Lionsgate (NYSE: LGF) announced today that principal photography has commenced

Source URL: www.lionsgatepublicity.com