添加示例 在上下文、翻译记忆库中将“lazy learning"翻译成 中文 变形 干 匹配词 所有 精确 任何 Interestingly, laziness or an inability to learn is not always the reason. 有趣的是,这些学生成绩不理想,不总是懒惰之过或在学习方面有问题。 jw2019 Other times, parents have their children ...
Lazy learning is a type of machine learning that memorizes training data and uses distance metrics to generate predictions when a new query is made.
网络惰性学习;即时学习;懒学习 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...
Lazy Learning: Special Issue Editorial - DW - 1997 () Citation Context ...data and the classification model M is applied to the imputed case. The second method employs the paradigm of lazy learning; that is, the induction of the classifier is delayed until application time =-=[4]-=-. ...
作者:David W·Aha 出版年:2010-12 页数:432 定价:$ 163.85 ISBN:9789048148608 豆瓣评分 目前无人评价 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the processing...
This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the processing of their inputs, reply to information requests by combining stored data, and typically discard constructed replies. It is the first edited volume in AI on ...
Lazy Learning Abstract Lazy learning is a machine learning strategy whereby learning is delayed until consultation time. Author information Authors and Affiliations Faculty of Information Technology, Monash University, Clayton, VIC, Australia Geoffrey I Webb...
Lazylearning(e.g.,instance-basedlearning):Simplystorestrainingdata(oronlyminorprocessing)andwaitsuntilitisgivenatesttuple Eagerlearning(theabovediscussedmethods):Givenasetoftrainingset,constructsaclassificationmodelbeforereceivingnew(e.g.,test)datatoclassify Lazy:lesstimeintrainingbutmoretimeinpredicting LazyLear...
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated
Lazy learningis amemory-based techniquethat, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered relevant according to adistance measure.In this paper wepropose adata-driven methodto select on a query-by-query basis the op...