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courses:rg [2015/10/05 18:33]
popel 		courses:rg [2015/10/15 10:26]
popel
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 === Autumn&Winter 2015/2016 (preliminary plan) === === Autumn&Winter 2015/2016 (preliminary plan) ===
-^ date   | **speaker**  | **paper** | +^ date   | **speaker**               | **paper** | 
-^ Oct  5 |              | startup meeting | +^ Oct  5 |                           | startup meeting | 
 ^ Oct 12 | Lukáš Žilka, Milan Straka | Programming hackaton, based on [[http://web.stanford.edu/class/cs168/|The Modern Algorithmic Toolbox]], read in advance lecture [[http://web.stanford.edu/class/cs168/l/l1.pdf|1]] and [[http://web.stanford.edu/class/cs168/l/l2.pdf|2]] | ^ Oct 12 | Lukáš Žilka, Milan Straka | Programming hackaton, based on [[http://web.stanford.edu/class/cs168/|The Modern Algorithmic Toolbox]], read in advance lecture [[http://web.stanford.edu/class/cs168/l/l1.pdf|1]] and [[http://web.stanford.edu/class/cs168/l/l2.pdf|2]] |
 ^ Oct 19 or Oct 20 | Martin Popel | Mark Johnson: [[http://cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf|A brief introduction to kernel classifiers]], 2009. You can also read [[http://ciml.info/dl/v0_9/ciml-v0_9-ch09.pdf|a chapter from ciml.info]]. [[courses:rg:2014:kernels|Questions]] | ^ Oct 19 or Oct 20 | Martin Popel | Mark Johnson: [[http://cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf|A brief introduction to kernel classifiers]], 2009. You can also read [[http://ciml.info/dl/v0_9/ciml-v0_9-ch09.pdf|a chapter from ciml.info]]. [[courses:rg:2014:kernels|Questions]] |
-^ Oct 26 |              | Michael Collins: [[http://ucrel.lancs.ac.uk/acl/W/W02/W02-1001.pdf|Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms]], EMNLP 2002. | +^ Oct 26 | Lukáš Žilka, Milan Straka | hands-on tutorial on using some neural network toolkit | 
-^ Nov 2  |              | Andrew McCallum, Dayne Freitag, Fernando Pereira: [[http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf|Maximum Entropy Markov Models for Information Extraction and Segmentation]], Conference on Machine Learning 2000, [[http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/gidofalvi.pdf|slides]] | +^ Nov  2 |                           | Michael Collins: [[http://ucrel.lancs.ac.uk/acl/W/W02/W02-1001.pdf|Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms]], EMNLP 2002. | 
-^ Nov  9 | —            | no RG, dean's day | +^ Nov  9 | —                         | no RG, dean's day | 
-^ Nov 16 |              |  | +^ Nov 16 |                           | Andrew McCallum, Dayne Freitag, Fernando Pereira: [[http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf|Maximum Entropy Markov Models for Information Extraction and Segmentation]], Conference on Machine Learning 2000, [[http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/gidofalvi.pdf|slides]] | 
-^ Nov 23 |              | John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cs.utah.edu/~piyush/teaching/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001. [[courses:rg:2014:crf|Questions]] |+^ Nov 23 |                           | John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cs.utah.edu/~piyush/teaching/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001. [[courses:rg:2014:crf|Questions]] |
 ^ Nov 30 |              |  | ^ Nov 30 |              |  |
 ^ Dec  7 |              |  | ^ Dec  7 |              |  |
 ^ Dec 14 |              |  | ^ Dec 14 |              |  |

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