An effectivization of the law of large numbers for algorithmically random sequences and its absolute speed limit of convergence.
Kohtaro TadakiPublished in: CoRR (2022)
Keyphrases
- convergence theorem
- hidden markov models
- pseudorandom
- supreme court
- convergence rate
- convergence speed
- initial conditions
- sequential data
- case law
- convergence property
- multiple sequence alignment
- faster convergence
- uniformly distributed
- databases
- variable length
- artificial neural networks
- decision trees
- computer vision
- neural network