Reshma Khemchandani

发表

Efficient trading frontier: a shortage function approach

S. Chandra, Reshma Khemchandani, 2014 .

TWSVR: Twin Support Vector Machine Based Regression

Jayadeva, S. Chandra, Reshma Khemchandani, 2017 .

Generalized Eigenvalue Proximal Support Vector Machines

Jayadeva, S. Chandra, Reshma Khemchandani, 2020 .

Incremental Twin Support Vector Machines

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2009 .

Multi-category laplacian least squares twin support vector machine

Reshma Khemchandani, Aman Pal, 2016, Applied Intelligence.

Single asset optimal trading strategies with stochastic dominance constraints

Reshma Khemchandani, Avikant Bhardwaj, Suresh Chandra, 2014, Annals of Operations Research.

Angle-based twin support vector machine

Reshma Khemchandani, P. Saigal, Suresh Chandra, 2017, Annals of Operations Research.

Proximal support tensor machines

A. Karpatne, Reshma Khemchandani, Suresh Chandra, 2012, International Journal of Machine Learning and Cybernetics.

Nonparallel hyperplane classifiers for multi-category classification

Reshma Khemchandani, Pooja Saigal, Reshma Khemchandani, 2015, 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI).

Generalized eigenvalue proximal support vector regressor

Anuj Karpatne, Reshma Khemchandani, Suresh Chandra, 2011, Expert Syst. Appl..

Fuzzy multi-category proximal support vector classification via generalized eigenvalues

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2007, Soft Comput..

Improvements on ν-Twin Support Vector Machine

Reshma Khemchandani, Suresh Chandra, Pooja Saigal, 2016, Neural Networks.

Robust least squares twin support vector machine for human activity recognition

Reshma Khemchandani, Sweta Sharma, Reshma Khemchandani, 2016, Appl. Soft Comput..

Tree based multi-category Laplacian TWSVM for content based image retrieval

Reshma Khemchandani, Aman Pal, Reshma Khemchandani, 2016, International Journal of Machine Learning and Cybernetics.

TWSVM for Unsupervised and Semi-supervised Learning

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2017 .

Tree based multi-category Laplacian TWSVM for content based image retrieval

Reshma Khemchandani, Aman Pal, 2016, International Journal of Machine Learning and Cybernetics.

Twin Support Vector Machines for Pattern Classification

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

TWSVR: Regression via Twin Support Vector Machine

Reshma Khemchandani, Suresh Chandra, Keshav Goyal, 2016, Neural Networks.

Angle-based twin support vector machine

Reshma Khemchandani, Suresh Chandra, Pooja Saigal, 2017, Annals of Operations Research.

Twin Support Vector Machines - Models, Extensions and Applications

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2016, Studies in Computational Intelligence.

Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Optimal kernel selection in twin support vector machines

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2009, Optim. Lett..

Color image classification and retrieval through ternary decision structure based multi-category TWSVM

Reshma Khemchandani, Pooja Saigal, Reshma Khemchandani, 2015, Neurocomputing.

Variants of Twin Support Vector Machines: Some More Formulations

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2017 .

Weighted Linear Loss Twin Support Vector Clustering

Reshma Khemchandani, Aman Pal, Reshma Khemchandani, 2016, CODS.

Fuzzy least squares twin support vector clustering

Reshma Khemchandani, Aman Pal, Suresh Chandra, 2016, Neural Computing and Applications.

Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives

Reshma Khemchandani, Suresh Chandra, Keshav Goyal, 2017, International Journal of Machine Learning and Cybernetics.

Fast and robust learning through fuzzy linear proximal support vector machines

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2004, Neurocomputing.

Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Regularized Least Squares Potential SVRs

Jayadeva, A. K. Deb, S. Chandra, 2006, 2006 Annual IEEE India Conference.

Twin support vector regression for the simultaneous learning of a function and its derivatives

Anuj Karpatne, Reshma Khemchandani, Suresh Chandra, 2012, International Journal of Machine Learning and Cybernetics.

Knowledge based Least Squares Twin support vector machines

Madan Gopal, Reshma Khemchandani, Suresh Chandra, 2010, Inf. Sci..

Robust Parametric Twin Support Vector Machine and Its Application in Human Activity Recognition

Reshma Khemchandani, Sweta Sharma, Reshma Khemchandani, 2016, CVIP.

Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives

Jayadeva, S. Chandra, Reshma Khemchandani, 2008, Information Sciences.

Twin Support Vector Machine based Regression

Reshma Khemchandani, Suresh Chandra, Keshav Goyal, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).

Regularized least squares fuzzy support vector regression for financial time series forecasting

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2009, Expert Syst. Appl..

Fuzzy linear proximal support vector machines for multi-category data classification

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2005, Neurocomputing.

Knowledge based proximal support vector machines

Reshma Khemchandani, Suresh Chandra, Jayadeva, 2009, Eur. J. Oper. Res..