M. Genton. Classes of Kernels for Machine Learning: a Statistics Perspective. J. Mach. Learn. Res., 2:299-312, 2002.Marc G. Genton, Classes of kernels for machine learning: a statistics perspective, The Journal of Machine Learning Research, 2, 3/1/2002...
Reich,Yoram - 《Microcomputers in Civil Engineering》 被引量: 37发表: 1997年 Machine-Learning Aided Peer Prediction Information Elicitation without Verification (IEWV) is a classic problem where a principal wants to truthfully elicit high-quality answers of some tasks from strategic agents despite tha...
斯坦福大学公开课机器学习:machine learning system design | error metrics for skewed classes(偏斜类问题的定义以及针对偏斜类问题的评估度量值:查准率(precision)和召回率(recall)) 上篇文章提到了误差分析以及设定误差度量值的重要性。那就是设定某个实数来评估学习算法并衡量它的表现。有了算法的评估和误差度量值,...
A problem with the notation for abstract data types is that data and procedures do not form a syntactic entity. Procedures are declared outside the record and without visible connection to it. Thus it is not immediately clear which procedures belong to a data type. DOI: 10.1007/978-3-642-...
In this paper, we propose a novel model, l p -norm multiple kernel learning with diversity of classes (LMKLDC), for the multi-class multiple kernel learning problem. LMKL-DC focuses on diversity of classes and aims to learn different kernel combinations for different classes to enhance the ...
I'm having problems implementing a simple balancing for an H2ORandomForestEstimator, I'm trying to reproduce a simple example found in Darren Cook's book written in R ('Practical Machine Learning with H2O - pag. 107). Working on the Iris Dataset, firstly I artificially unbalance the target ...
Balance the training set in some way: Oversample the minority class. Undersample the majority class. Synthesize new minority classes. Throw away minority examples and switch to an anomaly detection framework. At the algorithm level, or after it: ...
The complexity of the consistency problem for several important classes of Boolean functions is analyzed. The classes of functions under investigation are those which are closed under function composition or superposition. Several of these so-called Post classes are considered within the context of mach...
I tried to follow the code from a question that I previously asked here; however, I kept on getting error messages since that question is a binary problem and my data has three classes for the dependent variable 'Country' (3 categorical levels - France, Holland, and Spain) I have tried ...
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produced from an underlying set of event class generators. The learning task is then to recover this generative process from vi...