Improving the performance of sigmoid kernels in multiclass SVM using optimization techniques for agricultural fertilizer recommendation system
MS Suchithra, ML Pai - … Conference, ICSCS 2018, Kollam, India, April 19 …, 2018 - Springer
Abstract Support Vector Machines (SVM) are advancing rapidly in the field of machine
learning due to their enhancing performance in categorization and prediction. But it is also …
learning due to their enhancing performance in categorization and prediction. But it is also …
[PDF][PDF] Performance evaluation of kernels in multiclass support vector machines
R Sangeetha, B Kalpana - training, 2011 - Citeseer
In recent years, Kernel based learning algorithm has been receiving increasing attention in
the research domain. Kernel based learning algorithms are related internally with the kernel …
the research domain. Kernel based learning algorithms are related internally with the kernel …
[PDF][PDF] Identifying efficient kernel function in multiclass support vector machines
R Sangeetha, B Kalpana - International Journal of Computer Applications, 2011 - Citeseer
Support vector machine (SVM) is a kernel based novel pattern classification method that is
significant in many areas like data mining and machine learning. A unique strength is the …
significant in many areas like data mining and machine learning. A unique strength is the …
Observations and Considerations for Implementing Vibration Signals as an Input Technique for Mobile Devices
T Hrast, D Ahlström, M Hitz - Multimodal Technologies and …, 2024 - search.proquest.com
This work examines swipe-based interactions on smart devices, like smartphones and
smartwatches, that detect vibration signals through defined swipe surfaces. We investigate …
smartwatches, that detect vibration signals through defined swipe surfaces. We investigate …
Improving pulse shape discrimination in organic scintillation detectors by understanding underlying data structure
Various machine learning techniques have been implemented to assist in neutron-gamma
discrimination with great success compared to traditional methods. Despite this, the …
discrimination with great success compared to traditional methods. Despite this, the …
A novel framework for target tracking and data fusion in wireless sensor networks using kernel based learning algorithm
B Kalpana, R Sangeetha - … on Advances in Communication, Network, and …, 2011 - Springer
In recent years, a number of powerful kernel based learning algorithms like Support Vector
machines, Kernel Fisher Discriminant Analysis, Kernel Principal Component Analysis have …
machines, Kernel Fisher Discriminant Analysis, Kernel Principal Component Analysis have …