One of the most popular lazy learning algorithms is the k-nearest neighbors (k-NN) algorithm. In k-NN, the k closest training instances to the query point are considered, and their class labels are used to determine the class of the query. Lazy learning methods excel in situations where ...
1.1 INTRODUCTION Lazy learning algorithms are machine learning algorithms (Mitchell, 1997) that are welcome members of procrastinators anonymous. Purely lazy learners typically display the following characteristics (Aha, 19...doi:10.1007/978-1-4615-5725-8_2David W. Aha...
方法数值实验比较 k-NearestNeighborLearning •n-dimensionalspaceRn •InstancerepresentationV—featurevector<a1(x),a2(x),…an(x)>•Distancemetric(Euclideandistance)d(xi,xj) (a(x)a(x))r1rirj n 2 •Targetfunction(discretevalued/real-valued) n V ...
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated
Subject Headings:Lazy Model-based Learning Algorithm. Notes Cited By http://scholar.google.com/scholar?q=%22Lazy+learning+meets+the+recursive+least+squares+algorithm%22+1999 http://dl.acm.org/citation.cfm?doid=&preflayout=flat#citedby
网络释义 1. 惰性学习 ...学习算法有一阶方法——ML-kNN[8],该方法将惰性学习(lazy learning)算法k近邻改造以适应多标记数据;二阶方法——Ra… caai.cn|基于14个网页 2. 即时学习 即时差分学习,t... ... ) temporal difference learning 即时差分学习 )lazy learning即时学习) temporal difference 即时差分...
The predicted precision and the computation efficiency of the identifying algorithm directly affect the control performance of the system. To improve the precision, lazy learning algorithm, which has a essentially adaptive characteristics(i.e.,in which the data used for modeling are not only neighbors...
quantitative analysis of less soluble form iv in commercial carbamazepine (form iii) by diffuse reflectance fourier transform spectroscopy (drifts) and lazy learning algorithm Multiple Target Tracking with Lazy Background Subtraction and Connected Components Analysis China's Big-three Oil Companies Eager to...
In this study, the model-free adaptive PID control is based on the lazy learning algorithm. For a class of the Single input single output systems, the discrete model expression is as follows [6]: (1) y(i)=f1(y(i−1),⋯,y(i−ny),u(i−p),⋯,u(i−p−nu))+ε(i)...
In view of lots of unmeasured variables in industrial process,a soft sensing method usinglazy learningis presented. 针对工业过程中存在许多难以直接测量变量的问题,提出1种基于即时学习算法的软测量建模方法。 更多例句>> 3) adaptive control/ lazy learning algorithm ...