Magic Moments: Moment-based Approaches to Structured Output Prediction

author: Elisa Ricci, University of Perugia

Categories

Top: Computer Science: Machine Learning: Structured Output

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*Slides*
0:00	Magic Moments: Moment-based Approaches to Structured Output Prediction
0:27	Outline
1:03	Structured data everywhere!!!
1:33	Learning with structured data
2:25	Supervised learning
3:16	Classification
5:04	Sequence labeling
5:41	Sequence alignment - 1
6:15	Sequence alignment - 2
6:48	RNA secondary structure prediction
7:25	Sequence parsing
8:15	Generative models
9:40	Discriminative models
10:28	Learning in structured output spaces - 1
11:44	Learning in structured output spaces - 2
13:21	Learning in structured output spaces - 3
14:02	- Encoding
14:05	Encoding - 1
14:37	Encoding - 2
15:40	Encoding - 3
16:36	Encoding - 4
16:52	Encoding - 5
17:14	- Compression
17:30	Computing moments - 1
18:37	Computing moments - 2
19:47	Computing moments - 3
20:10	Computing moments - 2
20:25	Computing moments - 3
20:38	Computing moments - 4
22:03	- Optimization
22:18	Z-score - 1
23:32	Z-score - 2
24:27	Z-score - 3
25:23	Previous approaches
26:11	SODA - 1
27:22	SODA - 2
28:19	Rademacher bound - 1
29:56	Rademacher bound - 2
30:43	Z-score approach
32:46	Iterative approach - 1
33:17	Iterative approach - 2
34:16	Experimental results - 1
36:04	Experimental results - 2
36:14	Experimental results - 1
36:19	Experimental results - 2
37:18	Experimental results - 3
38:26	Experimental results - 4
39:13	Experimental results - 5
40:44	Experimental results - 6
42:23	Experimental results - 7
43:24	Conclusions
44:42	- Questions

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