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Everything about Forward algorithm
Hidden Markov model algorithm
The forward algorithm, in the context of a hidden Markov model (HMM), is used to calculate a 'belief state': the probability of a state at a certain time, given the history of evidence. The process is also known as filtering. The forward algorithm is closely related to, but distinct from, the Viterbi algorithm. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Forward algorithmA 5-minute orientation
- Skim a recent paper: Strongly convergent inertial forward-backward-forward algorithm without on-line rule for variational inequalitiesInfluential work since 2022
- Pick up a classic book: Computer NetworksThe most-reprinted book on the subject
- Read the landmark paper: Training feedforward networks with the Marquardt algorithmCited 6,120 times
- Go sideways: Forward–backward algorithmA closely related topic
- Go sideways: Maximum-entropy Markov modelA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Training feedforward networks with the Marquardt algorithm
An Inertial Forward-Backward Algorithm for Monotone Inclusions
Baum's forward-backward algorithm revisited
Forward-Backward-Half Forward Algorithm for Solving Monotone Inclusions
An iterative orthogonal forward regression algorithm
A Variable Metric Extension of the Forward–Backward–Forward Algorithm for Monotone Operators
On-Chip Learning in Vertical NAND Flash Memory Using Forward–Forward Algorithm
The Cascaded Forward algorithm for neural network training
🆕 Influential since 2022
Strongly convergent inertial forward-backward-forward algorithm without on-line rule for variational inequalities
A Backward–Forward Sweep Algorithm for Distribution System State Estimation
Forward-propagation-free focusing MUSIC algorithm for Lamb waves
Self-Contrastive Forward-Forward algorithm
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm
đź“š Books worth reading
Computer NetworksAndrew S. Tanenbaum, John David Wetherall · 1981
Artificial intelligenceStuart J. Russell, Peter Norvig · 1994
Computer networkingJames F. Kurose, Keith W. Ross · 1900
Communications, Signal Processing, and SystemsQilian Liang · 2012
The Elements of Statistical LearningTrevor Hastie, Robert Tibshirani · 2001- 📕Handbook of exchange ratesLucio Sarno, Jessica James · 2012
STL tutorial and reference guideDavid R. Musser, Gillmer J. Derge · 1996- 📕Forward and Inverse Scattering Algorithms Based on Contrast Source Integral EquationsPeter M. van den Berg · 2021
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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