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Fast Flux Discriminant for Large-Scale Sparse Nonlinear Classification
Published on Oct 08, 20142475 Views
In this paper, we propose a novel supervised learning method, Fast Flux Discriminant (FFD), for large-scale nonlinear classification. Compared with other existing methods, FFD has unmatched advantages
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Fast Flux Discriminant for Large-Scale Sparse Nonlinear Classification00:00
Settings - 100:10
Settings - 200:20
Settings - 300:24
Settings - 400:34
Settings - 500:37
Desired Properties - 100:49
Desired Properties - 201:39
Desired Properties - 301:55
Desired Properties - 402:01
Desired Properties - 502:06
Our Method - 102:37
Our Method - 202:48
Our Method - 302:51
Our Method - 403:00
Our Method - 503:04
Our Method - 603:10
Our Method - 703:19
Our Method - 803:29
Our Method - 903:39
Nonlinear Mapping - 103:47
Nonlinear Mapping - 203:50
Nonlinear Mapping - 303:59
Nonlinear Mapping - 404:12
Nonlinear Mapping - 504:24
Nonlinear Mapping - 604:49
One-Dimensional Density Estimation04:53
Two-Dimensional Density Estimation - 105:22
Two-Dimensional Density Estimation - 205:27
Two-Dimensional Density Estimation - 305:33
Kernel Smoothing - 105:38
Kernel Smoothing - 205:53
Kernel Smoothing - 306:18
Kernel Smoothing - 406:28
Kernel Smoothing - 506:31
Kernel Smoothing - 606:35
Kernel Smoothing - 706:41
Kernel Smoothing - 806:43
Kernel Smoothing - 906:46
Submodular Feature Selection - 106:56
Submodular Feature Selection - 207:12
Submodular Feature Selection - 307:47
Submodular Feature Selection - 407:58
Submodular Feature Selection - 508:19
Submodular Feature Selection - 608:31
Submodular Feature Selection - 708:37
Submodular Feature Selection - 808:46
Options for Redundancy - 108:57
Options for Redundancy - 209:10
Options for Redundancy - 309:16
Options for Redundancy - 409:23
Options for Redundancy - 509:33
FFD Model - 109:53
FFD Model - 210:10
FFD Model - 310:36
FFD Model - 410:59
Sparse Training - 111:04
Sparse Training - 211:06
Sparse Training - 311:08
Sparse Training - 411:12
Sparse Training - 511:17
Sparse Training - 611:26
Sparse Training - 711:30
Sparse Training - 811:31
Sparse Training - 911:33
Sparse Training - 1011:35
Practical Issues - 111:57
Practical Issues - 212:08
Practical Issues - 312:20
Visualization of FFD12:29
Interpretability - 112:49
Interpretability - 212:54
Interpretability - 313:01
Interpretability - 413:20
Experiment: Time - 113:48
Experiment: Time - 213:51
Experiment: Time - 313:54
Accuracy - 114:18
Accuracy - 214:30
Conclusions - 114:40
Conclusions - 214:44
Conclusions - 314:47
Conclusions - 414:48
Conclusions - 514:50
Conclusions - 614:51
Thank you14:53