polysomnography
发表于 2025-3-21 18:32:47
书目名称An Introduction to Machine Learning影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0155326<br><br> <br><br>书目名称An Introduction to Machine Learning读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0155326<br><br> <br><br>
PSA-velocity
发表于 2025-3-21 22:39:23
Similarities: Nearest-Neighbor Classifiers,rom the same disease. Similar objects often belong to the same class—an observation underlying another popular approach to classification: when asked to determine the class of object ., find the training example most similar to it, and then label . with this similar example’s class.
Pert敏捷
发表于 2025-3-22 01:12:27
Inter-Class Boundaries: Linear and Polynomial Classifiers,n and negative examples in another. This motivates yet another machine-learning approach to classification: instead of the probabilities and similarities from the previous two chapters, the idea is to define a . that separates the two classes. This surface can be linear—and indeed, linear functions
协迫
发表于 2025-3-22 07:48:11
Decision Trees,e attribute vector that describes the example. In some applications, this scenario is unrealistic. A physician looking for the cause of her patient’s ailment may have nothing to begin with save a few subjective symptoms. To narrow the field of possible diagnoses, she prescribes a few lab tests, and,
investigate
发表于 2025-3-22 10:07:20
Artificial Neural Networks,e links that interconnect the neurons. The task for machine learning is to provide algorithms capable of finding weights that result in good classification behavior. This search is accomplished by a process commonly referred to as a neural network’s ..
指派
发表于 2025-3-22 16:21:33
Computational Learning Theory,at it takes to induce a useful classifier from data, and, conversely, why the outcome of a machine-learning undertaking often disappoints the user. And so, even though this textbook does not want to be mathematical, it cannot help discussing at least the basic concepts of the ..
municipality
发表于 2025-3-22 20:33:03
Experience from Historical Applications,s has a way of complicating things, frustrating the engineer with unexpected hurdles, and challenging everybody’s notion of what exactly the induced classifier is supposed to do and why. Just as everywhere in the world of technology, a healthy dose of creativity is indispensable.
里程碑
发表于 2025-3-23 00:32:53
Voting Assemblies and Boosting,exchanging diverse points of view that complement each other in ways likely to inspire unexpected solutions. Something similar can be done in machine learning, as well. A group of classifiers is created, each of them somewhat different. When they vote about a class label, their “collective wisdom” o
CYT
发表于 2025-3-23 02:32:39
Classifiers in the Form of Rule-Sets,fied by the .-part. The advantage is that the rule captures the logic underlying the given class and thus facilitates an explanation of why an example is to be labeled in this or that concrete way. Typically, a classifier of this kind is represented not by a single rule, but by a set of rules, a ..
种属关系
发表于 2025-3-23 07:06:17
http://reply.papertrans.cn/16/1554/155326/155326_10.png