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Bridging Human and Machine Learning: Using discrete Markov Chain Monte Carlo with People to explore human categories
Published on Apr 25, 20123124 Views
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Chapter list
Bridging Human and Machine Learning: Using discrete Markov Chain Monte Carlo with People to explore human categories00:00
Mind’s challenge: to infer complex structure from limited, noisy, ambiguous input - 100:31
Mind’s challenge: to infer complex structure from limited, noisy, ambiguous input - 201:56
Mind’s challenge: to infer complex structure from limited, noisy, ambiguous input - 303:26
Mind’s challenge: to infer complex structure from limited, noisy, ambiguous input - 403:33
Human concepts and categories - 103:48
Human concepts and categories - 204:49
Background - 105:30
Background - 205:37
Background - 306:32
Background - 406:42
Background - 508:04
Challenge of measuring human categories - 108:35
Challenge of measuring human categories - 208:55
Challenge of measuring human categories - 309:19
Challenge of measuring human categories - 409:32
Challenge of measuring human categories - 509:51
Challenge of measuring human categories - 611:15
Challenge of measuring human categories - 711:34
Challenge of measuring human categories - 812:26
Solution: Markov Chain Monte Carlo (MCMC) for exploring human categories13:56
MCMC method for exploring human categories - 115:04
MCMC method for exploring human categories - 215:56
MCMC method for exploring human categories - 316:10
MCMC method for exploring human categories - 416:15
MCMC method for exploring human categories - 516:29
MCMC method for exploring human categories - 616:33
MCMC method for exploring human categories - 716:40
MCMC method for exploring human categories - 816:44
MCMC method for exploring human categories - 916:46
MCMC method for exploring human categories - 1016:48
MCMC method for exploring human categories - 1116:52
MCMC method for exploring human categories - 1216:55
MCMC method for exploring human categories - 1316:56
MCMC method for exploring human categories - 1417:03
MCMC method for exploring human categories - 1517:05
MCMC method for exploring human categories - 1617:05
MCMC method for exploring human categories - 1717:06
MCMC method for exploring human categories - 1817:08
MCMC method for exploring human categories - 1917:10
MCMC method for exploring human categories - 2017:11
MCMC method for exploring human categories - 2117:18
MCMC method for exploring human categories - 2217:24
MCMC algorithm from computer science - 117:47
MCMC algorithm from computer science - 219:20
MCMC algorithm from computer science - 323:06
Convergence in task with stick figure animals24:13
How to make a proposal state? - 125:05
How to make a proposal state? - 225:34
How to make a proposal state? - 326:23
Discrete MCMC makes proposal based on similarity measure between items - 126:46
Discrete MCMC makes proposal based on similarity measure between items - 227:13
Discrete MCMC makes proposal based on similarity measure between items - 327:16
Discrete MCMC makes proposal based on similarity measure between items - 427:17
Discrete MCMC makes proposal based on similarity measure between items - 527:18
MCMC method for exploring human categories - 2327:18
MCMC method for exploring human categories - 2427:24
MCMC method for exploring human categories - 2527:25
MCMC method for exploring human categories - 2627:29
MCMC method for exploring human categories - 2727:30
MCMC method for exploring human categories - 2827:31
MCMC method for exploring human categories - 2927:32
MCMC method for exploring human categories - 3027:34
MCMC method for exploring human categories - 3127:43
MCMC method for exploring human categories - 3227:43
MCMC method for exploring human categories - 3327:44
MCMC method for exploring human categories - 3427:45
MCMC method for exploring human categories - 3527:46
Using MCMC we can explore a wide variety of real life categories - 127:47
Using MCMC we can explore a wide variety of real life categories - 228:17
Using MCMC we can explore a wide variety of real life categories - 328:34
Using MCMC we can explore a wide variety of real life categories - 431:52
Using MCMC we can explore a wide variety of real life categories - 536:08
Thank you to: Tom Griffiths, Jay Martin, Adam Sanborn37:44