Critical Finance Review, 2015, 4: 45–115 Seasonal Variation in Treasury Returns Mark J. Kamstra, York University Lisa A. Kramer, University of Toronto Maurice D. Levi, University of British Columbia

Source URL: cfr.ivo-welch.info

BOOK R EV I EW Richard Capobianco. Engaging Heidegger. Toronto: University of Toronto Press, .  Pages. Reviewed by Lawrence J. Hatab Richard Capobianco’s impressive book, Engaging Heidegger, tackles

Source URL: heideggercircle.org

Crowdsourced mapping of land use in urban dense environments: An assessment of Toronto Eric Vaz Department of Geography, Ryerson University

Source URL: www.geog.uni-heidelberg.de

S P E C I A L F E AT U R E : M AT E R I A L S The University of Toronto’s Professor Chandra Veer Singh provides a detailed look into Canada’s investment in graphene, highlighting the need for greater funding and int

Source URL: www.graphenecanada2015.com

The Global Poverty Consensus Report – August, 2015 Alberto D. Cimadamore – Scientific Director of CROP [ISSC/UIB]; and Lynda Lange, Professor Emerita of Philosophy at the University of Toronto Scarborough ASAP – A

Source URL: academicsstand.org

The Complexity of Proving the Discrete Jordan Curve Theorem Phuong Nguyen Mcgill University

Source URL: www.cs.toronto.edu

UNIVERSITY OF TORONTO CHAPTER DISTINGUISHED LECTURE SERIES http://www.sigmaxi.utoronto.ca/events Mitochondria On the Menu

Source URL: www.sigmaxi.utoronto.ca

Learning the structure of deep sparse directed graphical models Ryan P. Adams1 , Hanna M. Wallach2 , and Zoubin Ghahramani3 1 University of Toronto

Source URL: mlg.eng.cam.ac.uk

Price Trade-offs in Social Media Advertising Milad Eftekhar† , Saravanan Thirumuruganathan‡ , Gautam Das‡ , and Nick Koudas† † Department of Computer Science, University of Toronto Toronto, ON, Canada

Source URL: cosn.acm.org

Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Restricted Boltzmann machine
• Boltzmann machine
• Autoencoder
• Backpropagation
• Feedforward neural network
• Generative model
• Connectionism
• Supervised learning
• Graphical model
• Machine learning
• Hidden Markov model