39 citations · 52 across the 10 of their papers we have counts for
6 papers · 1 filter
An Exact Finite-dimensional Explicit Feature Map for Kernel Functions
Kamaledin Ghiasi-Shirazi, Mohammadreza Qaraei
Kernel methods in machine learning use a kernel function that takes two data points as input and returns their inner product after mapping them to a Hilbert space, implicitly and w…
Neural Generalization of Multiple Kernel Learning
Ahmad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi +1
Multiple Kernel Learning is a conventional way to learn the kernel function in kernel-based methods. MKL algorithms enhance the performance of kernel methods. However, these method…
Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
Ramin Zarei Sabzevar, Kamaledin Ghiasi-Shirazi, Ahad Harati
Prototype-based learning (PbL) using a winner-take-all (WTA) network based on minimum Euclidean distance (ED-WTA) is an intuitive approach to multiclass classification. By construc…
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches
Naeem Paeedeh, Kamaledin Ghiasi-Shirazi
Many attempts took place to improve the adaptive filters that can also be useful to improve backpropagation (BP). Normalized least mean squares (NLMS) is one of the most successful…
A two-stage learning method for protein-protein interaction prediction
Amir Ahooye Atashin, Parsa Bagherzadeh, Kamaledin Ghiasi-Shirazi
In this paper, a new method for PPI (proteinprotein interaction) prediction is proposed. In PPI prediction, a reliable and sufficient number of training samples is not available, b…
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification
Amir Ahooye Atashin, Kamaledin Ghiasi-Shirazi, Ahad Harati
Many machine learning problems such as speech recognition, gesture recognition, and handwriting recognition are concerned with simultaneous segmentation and labeling of sequence da…