Nima Reyhani

发表

Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study

Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário, 2012, LVA/ICA.

Determination of the Mahalanobis matrix using nonparametric noise estimations

Michel Verleysen, Amaury Lendasse, Nima Reyhani, 2006, ESANN.

Non-Gaussian component analysis using Density Gradient Covariance matrix

Erkki Oja, Nima Reyhani, 2011, The 2011 International Joint Conference on Neural Networks.

Stochastic Matching on Uniformly Sparse Graphs

Mohammad Taghi Hajiaghayi, Nima Reyhani, Soheil Behnezhad, 2019, SAGT.

EVOLVING AUTOREGRESSIVE NEURAL NETWORKS FOR THE PROBLEM OF MODELING NONLINEAR HETEROGENEOUS TIME SERIES

Nima Reyhani, Mahmood Kharrat, 2004 .

Consistency and asymptotic normality of FastICA and bootstrap FastICA

Erkki Oja, Jarkko Ylipaavalniemi, Nima Reyhani, 2012, Signal Process..

LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator

Michel Verleysen, Amaury Lendasse, Nima Reyhani, 2005, ICANN.

Mutual information and gamma test for input selection

Amaury Lendasse, Nima Reyhani, Yongnan Ji, 2005, ESANN.

Multiple Kernel Learning by Conditional Entropy Minimization

Hideitsu Hino, Noboru Murata, Nima Reyhani, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

An empirical dependence mesaures based on residual variance estimation

Amaury Lendasse, Nima Reyhani, 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

LSP restoration in MPLS network using case-based reasoning approach

Nima Reyhani, Kambiz Badie, A. K. Zadeh, 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

Almost Optimal Stochastic Weighted Matching with Few Queries

Nima Reyhani, Soheil Behnezhad, 2018, EC.

Methodology for long-term prediction of time series

Amaury Lendasse, Nima Reyhani, Antti Sorjamaa, 2007, Neurocomputing.

Multiple Spectral Kernel Learning and a Gaussian Complexity Computation

Nima Reyhani, 2013, Neural Computation.

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices

Hideitsu Hino, Nima Reyhani, Ricardo Vigário, 2011, UAI.

Stochastic Matching with Few Queries: New Algorithms and Tools pdf

Mohammad Taghi Hajiaghayi, Nima Reyhani, Soheil Behnezhad, 2019, SODA.

An iterative algorithm for singular value decomposition on noisy incomplete matrices

Nima Reyhani, Kyunghyun Cho, Kyunghyun Cho, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Supervised covariance selection for linear discriminant analysis

Hideitsu Hino, Nima Reyhani, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Input and Structure Selection for k-NN Approximator

Amaury Lendasse, Nima Reyhani, Antti Sorjamaa, 2005, IWANN.

A new approach to compositional adaptation based on optimizing the global distance function and its application in an intelligent tutoring system

Nima Reyhani, Kambiz Badie, Mahmood Kharrat, 2003, Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications.

EM-algorithm for training of state-space models with application to time series prediction

Amaury Lendasse, Nima Reyhani, Elia Liitiäinen, 2006, ESANN.

Direct and Recursive Prediction of Time Series Using Mutual Information Selection

Amaury Lendasse, Nima Reyhani, Yongnan Ji, 2005, IWANN.

Speaker recognition using multiple kernel learning based on conditional entropy minimization

Tetsuji Ogawa, Tetsunori Kobayashi, Hideitsu Hino, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multiple Kernel Learning with Gaussianity Measures

Hideitsu Hino, Noboru Murata, Nima Reyhani, 2012, Neural Computation.