نتایج جستجو برای: nearest neighbour network

تعداد نتایج: 701018  

Journal: :journal of medical signals and sensors 0
golshan taheri mehran yazdi alireza keshavarz-haddad arash rafie borujeny

the monitoring of epileptic seizures is mainly done by means of eeg (electroencephalogram) monitoring. although this method is accurate, it is not comfortable for the patient as the eeg-electrodes have to be attached to the scalp which hampers the patient’s movement. this makes long term home monitoring not feasible. in this paper the aim is to propose a seizure detection system based on accele...

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...

Journal: :CoRR 1996
Ramin Charles Nakisa Ulrike Hahn

The German plural system has become a focal point for conflicting theories of language, both linguistic and cognitive. We present simulation results with three simple classifiers – an ordinary nearest neighbour algorithm, Nosofsky’s ‘Generalized Context Model’ (GCM) and a standard, three-layer backprop network – predicting the plural class from a phonological representation of the singular in G...

2004
Dave C. Trudgian

Spam mail classification and filtering is a commonly investigated problem, yet there has been little research into the application of nearest neighbour classifiers in this field. This paper examines the possibility of using a nearest neighbour algorithm for simple, word based spam mail classification. This approach is compared to a neural network, and decision-tree along with results published ...

2017
Maciej Piernik Dariusz Brzezinski Tadeusz Morzy Mikolaj Morzy

The nearest neighbor classifier is a powerful, straightforward, and very popular approach to solving many classification problems. It also enables users to easily incorporate weights of training instances into its model, allowing users to highlight more promising examples. Instance weighting schemes proposed to date were based either on attribute values or external knowledge. In this paper, we ...

Journal: :Australasian J. Combinatorics 1998
B. S. P. Chan John A. Eccleston

In this paper, methods for constructing two dimensional nearest neighbour balanced (NNB) designs are considered. The methods given by Afsarinejad and Seeger (1988) are extended to give a new family of nearest neighbour balanced designs. Both nearest neighbour balanced designs with and without borders are constructed. A method of construction of a class of partial nearest neighbour balanced (PNN...

Journal: :Journal of Physics: Conference Series 2011

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