Daniel Duckwoth
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18 Questions
0
votes
1
answers
262
views
Reviews on Machine Learning Summer School Program
1
votes
3
answers
275
views
Why does adding features in Regression hurt performance?
1
votes
1
answers
209
views
Monte Carlo Methods when observing the output of a function of many random variables
1
votes
1
answers
192
views
Inference in weakly interacting stochastic processes
0
votes
0
answers
310
views
Sequentially optimizing q to minimize KL(P||q)?
2
votes
2
answers
420
views
Testing if a Probability Density Function Implementation is Correct
2
votes
1
answers
578
views
Learning Proposal Distributions for Particle Filters?
1
votes
1
answers
376
views
Integrating with respect to an MCMC Kernel
0
votes
0
answers
317
views
Overhead Vehicle Tracking Data?
1
votes
0
answers
351
views
Bias in Particle Filters
6
votes
4
answers
627
views
Unit Testing a Monte Carlo Algorithm
1
votes
0
answers
235
views
Importance Sampling for Mixed Discrete/Continuous Variable
0
votes
2
answers
784
views
Frameworks toward Understading (Artificial General Intelligence)?
9
votes
1
answers
2k
views
Understanding the "Kernel Trick"
1
votes
4
answers
1k
views
What is a general form of the EM Algorithm?
3 Answers
19 Votes
17
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2
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41 Tags
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dataset
× 13 data × 12 scraping × 12 data-mining × 12 particle-filter × 7 sampling × 7 em × 6 algorithms × 6 mcmc × 6 simulation × 4 |
books
× 4 introduction × 4 regression × 4 textbooks × 4 features × 4 monte-carlo × 4 intelligence × 3 agi × 3 machine-learning × 3 nlp × 3 |
translation
× 3 importance-sampling × 2 svm × 2 rkhs × 2 kernel × 2 density-estimation × 2 hilbert × 2 kernel-trick × 2 mutual-information × 1 nonlinear × 1 |
apprenticeship-learning
× 1 tracking × 1 bias × 1 inverse-reinforcement-learning × 1 implementation × 1 mlss × 1 inference × 1 time-series × 1 reinforcement-learning × 1 weakly-interacting × 1 |
optimization
× 1 |
18 Kudos
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● Prominent Question × 18 ● Well-Known Question × 17 ● Conspicuous Question × 13 ● Appreciated Question × 6 ● Esteemed Question × 4 ● Adulated Question × 3 |
● Cherished Question × 3 ● Prized Question × 3 ● Appreciated Answer × 2 ● Guide × 1 ● Mentor × 1 ● Participant × 1 |
● Cognoscenti × 1 ● Revisionist × 1 ● Discriminating × 1 ● Blue Pencil × 1 ● Commentator × 1 ● Inquisitive × 1 |