Thomas Torsney-Weir
VDA research group, University of Vienna
"A rational agent is one that acts so as to achieve the best outcome or, when there is uncertainty, the best expected outcome"
Russell, Stuart, and Peter Norvig. Artificial intelligence: A modern approach, 2009.
Algorithms that can improve their performance based on training data
Predict continuous values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Predict continuous values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Predict continuous values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Predict continuous values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Predict continuous values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Predict continuous values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Predict continuous values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Predict discrete values
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Find distributions
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Find distributions
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Find distributions
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Find distributions
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Find distributions
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
Find distributions
Bishop, Christopher M. Pattern recognition and machine learning (information science and statistics), 2006.
\[ P(C=c_k | X=x) = \frac{P(X=x | C=c_k) P(C=c_k)}{P(X=x)} \]
Sahami, Mehran, Susan Dumais, David Heckerman, and Eric Horvitz. “A bayesian approach to filtering junk e-mail,” 1998.
http://blog.soton.ac.uk/hive/2012/05/10/recommendation-system-of-hive/
http://recognize-speech.com/images/LanguageModel/left_to_right_HMM.png
both vis and ML seem to have similar goals: make sense of complex data
Morton, Kristi, Ross Bunker, Jock Mackinlay, Robert Morton, and Chris Stolte. “Dynamic workload driven data integration in Tableau,” 2012.
How do they work together?
Meta parameters control how learning takes place