Explore Books on
learning models (stochastic processes)

Stochastic Learning and Optimization

By Xi-Ren Cao

Identification, adaptation, learning

By Sergio Bittanti

A compendium of machine learning

By Garry Briscoe,Terry Caelli

Learning, Networks and Statistics

By Giacomo Della Riccia,Rudolf Kruse,Hans-Joachim Lenz

Algorithmic Learning Theory II,

By S. Arikawa

Markov processes and learning models

By M. Frank Norman

Do preferences and-or skills explain gender based differences in learning?

By Gordon J. Anderson

Multiresponse models of generalized learning process

By Yû Kai

Stochastisches Denken

By Wolfgang Bea

Stochastic modeling of telecommunication systems

By P. Nain,K. W. Ross

Experience curves for energy technology policy

By International Energy Agency

Limiting theorems for some generalized Bush-Mosteller models

By Hans Wolff

The mixed Markov and related stochastic models for the analysis of disease progression

By John Uebersax

Ogranichennostʹ vyborki v zadachakh klassifikat︠s︡ii

By Šarūnas Raudys

Genetic learning automata

By M. N. Howell

Characteristic eddy decomposition of turbulence in a channel

By Parviz Moin

The Mixed Markov and related stochastic models for the analysis of disease progression

By

Concept coverage and its application to two learning tasks

By Hussein Saleh Almuallim

Mathematical learning models--theory and algorithms

By Vogel, Walter

Algorithmic learning theory

By International Workshop on Algorithmic Learning Theory (1st 1990 Tokyo)

Ogranichennostʹ vyborki v zadachakh klassifikat︠s︡ii

By