Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Supervised machine learning: A review of classification techniques
SB Kotsiantis, I Zaharakis, P Pintelas - … intelligence applications in …, 2007 - books.google.com
The goal of supervised learning is to build a concise model of the distribution of class labels
in terms of predictor features. The resulting classifier is then used to assign class labels to …
in terms of predictor features. The resulting classifier is then used to assign class labels to …
Interestingness measures for data mining: A survey
Interestingness measures play an important role in data mining, regardless of the kind of
patterns being mined. These measures are intended for selecting and ranking patterns …
patterns being mined. These measures are intended for selecting and ranking patterns …
[ספר][B] Machine learning: the art and science of algorithms that make sense of data
P Flach - 2012 - books.google.com
As one of the most comprehensive machine learning texts around, this book does justice to
the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's …
the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's …
[ספר][B] Evaluating learning algorithms: a classification perspective
N Japkowicz, M Shah - 2011 - books.google.com
The field of machine learning has matured to the point where many sophisticated learning
approaches can be applied to practical applications. Thus it is of critical importance that …
approaches can be applied to practical applications. Thus it is of critical importance that …
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
Commonly used evaluation measures including Recall, Precision, F-Measure and Rand
Accuracy are biased and should not be used without clear understanding of the biases, and …
Accuracy are biased and should not be used without clear understanding of the biases, and …
Data mining: practical machine learning tools and techniques with Java implementations
Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
[ספר][B] Foundations of rule learning
J Fürnkranz, D Gamberger, N Lavrač - 2012 - books.google.com
Rules–the clearest, most explored and best understood form of knowledge representation–
are particularly important for data mining, as they offer the best tradeoff between human and …
are particularly important for data mining, as they offer the best tradeoff between human and …
[PDF][PDF] Practical machine learning tools and techniques
The convergence of computing and communication has produced a society that feeds on
information. Yet most of the information is in its raw form: data. If data is characterized as …
information. Yet most of the information is in its raw form: data. If data is characterized as …
Performance evaluation in machine learning: the good, the bad, the ugly, and the way forward
This paper gives an overview of some ways in which our understanding of performance
evaluation measures for machine-learned classifiers has improved over the last twenty …
evaluation measures for machine-learned classifiers has improved over the last twenty …
Knowledge discovery from data streams
In the last two decades, machine learning research and practice has focused on batch
learning, usually with small datasets. Nowadays there are applications in which the data are …
learning, usually with small datasets. Nowadays there are applications in which the data are …