| Both sides previous revision
Previous revision
|
Next revision
Both sides next revision
|
courses:rg [2015/10/26 23:38]
popel |
courses:rg [2015/10/31 22:35]
popel |
| === 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, Milan | 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 | 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 | Martin | 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 | Lukáš Žilka, Milan Straka | hands-on tutorial on using some neural network toolkit | | ^ Oct 26 | Lukáš, Milan | hands-on tutorial on using some neural network toolkit | |
| ^ 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. [[courses:rg:2014:perceptron|Questions]] | | ^ Nov 2 | Adéla | 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. [[courses:rg:2014:perceptron|Questions]] | |
| ^ Nov 9 | — | no RG, dean's day | | ^ Nov 9 | — | no RG, dean's day | |
| ^ 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 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 | | | |
