Mathematicalmonk

(ML 2.5) Generalizations for trees (CART) 13:20
(ML 2.5) Generalizations for trees (CART) mathematicalmonk 34,317 11 лет назад
(ML 2.4) Growing a classification tree (CART) 14:06
(ML 2.4) Growing a classification tree (CART) mathematicalmonk 36,875 11 лет назад
(IC 5.14) Finite-precision arithmetic coding - Decoder 24:22
(IC 5.14) Finite-precision arithmetic coding - Decoder mathematicalmonk 9,618 12 лет назад
(IC 5.13) Finite-precision arithmetic coding - Encoder 17:37
(IC 5.13) Finite-precision arithmetic coding - Encoder mathematicalmonk 6,150 12 лет назад
(IC 5.12) Finite-precision arithmetic coding - Setup 7:52
(IC 5.12) Finite-precision arithmetic coding - Setup mathematicalmonk 6,138 12 лет назад
(IC 5.11) Finite-precision arithmetic coding - Rescaling 31:37
(IC 5.11) Finite-precision arithmetic coding - Rescaling mathematicalmonk 6,252 12 лет назад
(IC 5.10) Generalizing arithmetic coding to non-i.i.d. models 24:20
(IC 5.10) Generalizing arithmetic coding to non-i.i.d. models mathematicalmonk 3,795 12 лет назад
(IC 5.9) Computational complexity of arithmetic coding 19:08
(IC 5.9) Computational complexity of arithmetic coding mathematicalmonk 5,579 12 лет назад
(IC 5.8) Near optimality of arithmetic coding 32:18
(IC 5.8) Near optimality of arithmetic coding mathematicalmonk 3,770 12 лет назад
(IC 5.7) Decoder for arithmetic coding (infinite-precision) 19:37
(IC 5.7) Decoder for arithmetic coding (infinite-precision) mathematicalmonk 7,452 12 лет назад
(ML 16.6) Gaussian mixture model (Mixture of Gaussians) 14:51
(ML 16.6) Gaussian mixture model (Mixture of Gaussians) mathematicalmonk 187,700 13 лет назад
(PP 1.1) Measure theory: Why measure theory - The Banach-Tarski Paradox 8:38
(PP 1.1) Measure theory: Why measure theory - The Banach-Tarski Paradox mathematicalmonk 220,962 13 лет назад
(ML 19.1) Gaussian processes - definition and first examples 12:06
(ML 19.1) Gaussian processes - definition and first examples mathematicalmonk 123,301 13 лет назад
(ML 15.1) Newton's method (for optimization) - intuition 11:16
(ML 15.1) Newton's method (for optimization) - intuition mathematicalmonk 146,768 13 лет назад
(ML 4.1) Maximum Likelihood Estimation (MLE) (part 1) 14:47
(ML 4.1) Maximum Likelihood Estimation (MLE) (part 1) mathematicalmonk 208,790 13 лет назад
(ML 14.1) Markov models - motivating examples 13:29
(ML 14.1) Markov models - motivating examples mathematicalmonk 118,762 13 лет назад
(ML 16.3) Expectation-Maximization (EM) algorithm 14:37
(ML 16.3) Expectation-Maximization (EM) algorithm mathematicalmonk 228,847 13 лет назад

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