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Transformative Machine Learning: Explicit is Better than Implicit
Published on 2019-06-28147 Views
The key to success in machine learning (ML) is the use of effective data representations. Formerly, ML was only applied to isolated problems. Now, with the ever-increasing availability of data, ML is
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Presentation
Representation in Machine Learning for Drug Design01:03
Data Representation01:07
Effective Data Representations01:08
Notes 1 Deep Learning02:23
Notes 2 Relational Learning04:19
Talk Plan09:28
Multiple Related Problems are Typical in Science09:37
Multi task learning09:44
Transfer Learning10:29
Prediction Problems11:55
Transformative Learning14:08
The New Idea14:15
Standard Machine Learning - 114:54
Standard Machine Learning - 215:56
Standard Machine Learning - 317:29
Transformative Machine Learning18:13
Intuition 120:11
Intuition 220:35
The Standard Alternative21:20
Methods22:15
Experimental Setup Machine Learning Methods22:22
Experimental Setup Problems24:14
Results - 127:31
Results - 227:36
XAI Transformative Learning 129:23
XAI Transformative Learning 231:14
XAI Human DHFR32:01
XAI Drug Design Example 134:59
XAI Drug Design Example 235:31
Large scale Modelling36:07
Gene/Protein Clustering36:22
Clustering - 137:14
Compound Clustering38:00
Clustering - 238:43
Large scale Predictions - 139:11
Large scale Predictions - 239:41
FAIR Data39:54
Discussion40:29
Extensions 140:31
Extensions 241:12
2nd Order Transformative Learning41:52
Conclusions43:20
Acknowledgments43:52