代码搜索：Learning
找到约 5,352 项符合「Learning」的源代码
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www.eeworm.com/read/474604/6813712
names soybean.names
|1. Title: Large Soybean Database
|
|2. Sources:
| (a) Michalski,R.S. Learning by being told and learning from
| examples: an experimental comparison of the two methodes of knowledge
|
www.eeworm.com/read/471592/6885960
names soybean.names
|1. Title: Large Soybean Database
|
|2. Sources:
| (a) Michalski,R.S. Learning by being told and learning from
| examples: an experimental comparison of the two methodes of knowledge
|
www.eeworm.com/read/268529/11136224
m contents.m
% Machine Learning Toolbox
% Version 1.0 01-Apr-96
% Copyright (c) by Zoubin Ghahramani, University of Toronto
%
% This directory contains a Matlab implementation of the Baum-Welch learning
% alg
www.eeworm.com/read/112466/15484747
tex model.tex
\rhead{class MODEL}
\section{MODEL : Shape Learning Class}
{\tt MODEL} provides shape matrix and local regularization parameters learning routines. It has the following structure:
\begin{verbat
www.eeworm.com/read/230098/14306134
cpp qlearn-cmac-xwin.cpp
// Q-learning for mountain car problem
/// Q-learning for mountain car problem
// uses CMAC as a function approximator
// follows approach described in Sutton/Singh papers
// implements TD(lambda)
www.eeworm.com/read/208504/15246001
cpp qlearn-cmac-xwin.cpp
// Q-learning for mountain car problem
/// Q-learning for mountain car problem
// uses CMAC as a function approximator
// follows approach described in Sutton/Singh papers
// implements TD(lambda)
www.eeworm.com/read/486606/1249371
java i_reinforcementlearner_id.java
/**
* i_ReinforcementLearner_id.java
*/
package EDU.gatech.cc.is.learning;
import java.io.*;
/**
* Reinforcement learning class with discrete inputs and outputs.
* The module will learn to s
www.eeworm.com/read/407965/2256850
java i_reinforcementlearner_id.java
/**
* i_ReinforcementLearner_id.java
*/
package EDU.gatech.cc.is.learning;
import java.io.*;
/**
* Reinforcement learning class with discrete inputs and outputs.
* The module will learn to s
www.eeworm.com/read/261019/4326024
java i_reinforcementlearner_id.java
/**
* i_ReinforcementLearner_id.java
*/
package EDU.gatech.cc.is.learning;
import java.io.*;
/**
* Reinforcement learning class with discrete inputs and outputs.
* The module will learn to s
www.eeworm.com/read/299372/7864413
cpp main.cpp
/*=============================================================================
|
| Description: This program is an implementation of the Association Rule
| learning algorithm(Apriori).