(ML 14.11) Viterbi algorithm (part 1)
14:33
(ML 14.11) Viterbi algorithm (part 1)
359 viewsOct 28, 2019
bilibili从零开始的人工智能
Edinburgh. 60-minute lecture. Hidden Markov Models.Lecturer: Chris Williams. A reference work on HMM for time series.Three algorithms:Viterbi - argmax P(Q | O, λ). Recovers the hidden sequence of states.EM (Baum-Welch) - iterative re-estimation of transition and emission probabilities. Converges to a local maximum of likelihood.Forward-backward - computes γ(i,t) = P(qₜ = S_i | O, λ).Williams covers three domains: markets, speech recognition, DNA sequencing.Same mathematics across all three. Diff
52:35
Edinburgh. 60-minute lecture. Hidden Markov Models.Lecturer: Chris Williams. A reference work on HMM for time series.Three algorithms:Viterbi - argmax P(Q | O, λ). Recovers the hidden sequence of states.EM (Baum-Welch) - iterative re-estimation of transition and emission probabilities. Converges to a local maximum of likelihood.Forward-backward - computes γ(i,t) = P(qₜ = S_i | O, λ).Williams covers three domains: markets, speech recognition, DNA sequencing.Same mathematics across all three. Diff
522 views1 month ago
x.comAlexo
Vibe Coding 实录 #02｜Claude Code 用 Verilog实现 Viterbi 译码，翻车了？
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Vibe Coding 实录 #02｜Claude Code 用 Verilog实现 Viterbi 译码，翻车了？
713 views4 months ago
bilibili大师兄的筋斗云
Lecture 7: Viterbi Decoding | Introduction to EECS II: Digital Communication Systems | Electrical Engineering and Computer Science | MIT OpenCourseWare
Lecture 7: Viterbi Decoding | Introduction to EECS II: Digital Communication Systems | Electrical Engineering and Computer Science | MIT OpenCourseWare
Apr 3, 2022
mit.edu
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Ronald Rivest: The Growth of Cryptography
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YouTubeprincetonacademics
OpenAI's privacy-filter, multilingual.A token classifier built on the openai_privacy_filter architecture:→ 54 PII span classes→ BIOES labels per token→ Viterbi cleanup into clean entity spans→ 16 languagesRunning in the web app + on iPhone/iPad:
0:21
OpenAI's privacy-filter, multilingual.A token classifier built on the openai_privacy_filter architecture:→ 54 PII span classes→ BIOES labels per token→ Viterbi cleanup into clean entity spans→ 16 languagesRunning in the web app + on iPhone/iPad:
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x.comMaziyar PANAHI
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usc.edu
41:12
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