35 citations · 135 across the 19 of their papers we have counts for
4 papers · 1 filter
Feature Selection for classification of hyperspectral data by minimizing a tight bound on the VC dimension
Phool Preet, Sanjit Singh Batra, Jayadeva
Hyperspectral data consists of large number of features which require sophisticated analysis to be extracted. A popular approach to reduce computational cost, facilitate informatio…
Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACO
Udit Kumar, Sumit Soman, Jayadeva
This paper presents a comparative analysis of the performance of the Incremental Ant Colony algorithm for continuous optimization (), with different algorithms pro…
A Neurodynamical System for finding a Minimal VC Dimension Classifier
Jayadeva, Sumit Soman, Amit Bhaya
The recently proposed Minimal Complexity Machine (MCM) finds a hyperplane classifier by minimizing an exact bound on the Vapnik-Chervonenkis (VC) dimension. The VC dimension measur…
Learning a Fuzzy Hyperplane Fat Margin Classifier with Minimum VC dimension
Jayadeva, Sanjit Singh Batra, Siddarth Sabharwal
The Vapnik-Chervonenkis (VC) dimension measures the complexity of a learning machine, and a low VC dimension leads to good generalization. The recently proposed Minimal Complexity…