Author2Vec: Learning Author Representations by Combining Content and Link Information Ganesh J1 Soumyajit Ganguly1 Manish Gupta1,2 Vasudeva Varma1 Vikram Pudi1 1 IIIT, Hyderabad, India, {ganesh.j, soumyajit.ganguly}@res

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• Mathematics
• Computational neuroscience
• Machine learning
• Applied mathematics
• Artificial neural networks
• Feature learning
• Deep learning
• Outline of machine learning
• Mutual information
• Embedding
• Neural network

Translation Term Weighting and Combining Translation Resources in Cross-Language Retrieval
Aitao Chen, and Fredric Gey
School of Information Management and Systems

Source URL: metadata.sims.berkeley.edu

FOLDED HETEROAROMATIC BACKBONES BASED ON TRIAZOLES: COMBINING SYNTHETIC ACCESSIBILITY WITH DEFINED CONFORMATIONAL PREFERENCES R1

Source URL: www.hechtlab.de

PRIME 41 Combining 4.1 MP resolution with industry leading range, the Prime 41 measures movements to <0.1 mm—ideal for demanding character animation and 6DoF camera tracking. $5,999

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EFR32MG 2.4 GHz 13 dBm Radio Board BRD4153A Reference Manual The EFR32MG family of Wireless SoCs deliver a high performance, low energy wireless solution integrated into a small form factor package. By combining a high p

Source URL: www.silabs.com

Combining Argument Mining Techniques John Lawrence School of Computing University of Dundee UK

Source URL: www.arg.dundee.ac.uk

Blooms Learning Levels Creating: Combining information to create a unique thesis, concept, or product. Producing an original work, built upon current knowledge base. Evaluating: The ability to take information and data a

Source URL: www.acs.tcu.edu

Combining results from all tests These are the steps to combine the results from all of your tests. One section is specifically for the situation where you can identify a paternal or maternal match, the rest applies to a

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Things and Strings: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence with Topic Modeling Yiting Ju1 , Benjamin Adams2 , Krzysztof Janowicz1 , Yingjie Hu3 , Bo Yan1 , and Grant McKenz

Source URL: geog.ucsb.edu

Toward a General Solution to the Symbol Grounding Problem: Combining Machine Learning and Computer Vision Paul Davidsson Department of Computer Science, Lund University Box 118, S{Lund, Sweden

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