منابع مشابه
Extreme Multi Class Classification
We consider the multi class classification problem under the setting where the number of labels is very large and hence it is very desirable to efficiently achieve train and test running times which are logarithmic in the label complexity. Additionally the labels are feature dependent in our setting. We propose a reduction of this problem to a set of binary regression problems organized in a tr...
متن کاملMonotonic classification extreme learning machine
Monotonic classification problems mean that both feature values and class labels are ordered and monotonicity relationships exist between some features and the decision label. Extreme Learning Machine (ELM) is a singlehidden layer feedforward neural network with fast training rate and good generalization capability, but due to the existence of training error, ELM cannot be directly used to hand...
متن کاملAdversarial Extreme Multi-label Classification
The goal in extreme multi-label classification is to learn a classifier which can assign a small subset of relevant labels to an instance from an extremely large set of target labels. Datasets in extreme classification exhibit a long tail of labels which have small number of positive training instances. In this work, we pose the learning task in extreme classification with large number of tail-...
متن کاملExtreme learning machines for Internet traffic classification
Network packet transport services (namely the Internet) are subject to significant security issues. This paper aims to apply Machine Learning methods based on Neural Networks (Extreme Learning Machines or ELM) to analyze the Internet traffic in order to detect specific malicious activities. This is performed by classifying traffic for a key service run over the internet: the Domain Name System ...
متن کاملExtreme Learning Machine for land cover classification
This paper explores the potential of extreme learning machine based supervised classification algorithm for land cover classification. In comparison to a backpropagation neural network, which requires setting of several user-defined parameters and may produce local minima, extreme learning machine require setting of one parameter and produce a unique solution. ETM+ multispectral data set (Engla...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cognitive Linguistics
سال: 2018
ISSN: 0936-5907,1613-3641
DOI: 10.1515/cog-2017-0109