T EMPORAL P ROBABILISTIC M ODELS. M OTIVATION Observing a stream of data Monitoring (of people, computer systems, etc) Surveillance, tracking Finance.
CS B 553: A LGORITHMS FOR O PTIMIZATION AND L EARNING Temporal sequences: Hidden Markov Models and Dynamic Bayesian Networks.
The dynamics of iterated learning Tom Griffiths UC Berkeley with Mike Kalish, Steve Lewandowsky, Simon Kirby, and Mike Dowman.
Exploring cultural transmission by iterated learning Tom Griffiths Brown University Mike Kalish University of Louisiana With thanks to: Anu Asnaani, Brian.
Iuliia StepanetsBayan Utebayeva 2014. Chalmers Johnson Iuliia Stepanets - I36040.
Modeling the Spread of Influence on the Blogosphere Akshay Java, Pranam Kolari, Tim Finin, and Tim Oates UMBC Tech Report 04/12/06.
Analyzing cultural evolution by iterated learning
Exploring cultural transmission by iterated learning
Leo Strauss - Political Philosophy and History
Analyzing iterated learning Tom Griffiths Brown University Mike Kalish University of Louisiana.
Modeling the Spread of Influence on the Blogosphere
CS b553: Algorithms for Optimization and Learning
