Search Results for author: M. Andrecut

Found 7 papers, 1 papers with code

Diffusion Self-Organizing Map on the Hypersphere

no code implementations31 May 2021 M. Andrecut

We discuss a diffusion based implementation of the self-organizing map on the unit hypersphere.

Additive Feature Hashing

no code implementations7 Feb 2021 M. Andrecut

That is, we show that additive feature hashing can be performed directly by adding the hash values and converting them into high-dimensional numerical vectors.

K-Means Kernel Classifier

1 code implementation23 Dec 2020 M. Andrecut

The least-squares kernel method uses these representative vectors as a training set for the classification task.

Classification General Classification

High-Dimensional Vector Semantics

no code implementations23 Feb 2018 M. Andrecut

In this paper we explore the "vector semantics" problem from the perspective of "almost orthogonal" property of high-dimensional random vectors.

On the inherent competition between valid and spurious inductive inferences in Boolean data

no code implementations6 Jan 2018 M. Andrecut

This incompleteness of the problem will also generate spurious inferences, which are a serious threat to valid inductive inference rules.

Reservoir Computing on the Hypersphere

no code implementations24 Jun 2017 M. Andrecut

Reservoir Computing (RC) refers to a Recurrent Neural Networks (RNNs) framework, frequently used for sequence learning and time series prediction.

Time Series Time Series Prediction

Randomized Kernel Methods for Least-Squares Support Vector Machines

no code implementations22 Mar 2017 M. Andrecut

The least-squares support vector machine is a frequently used kernel method for non-linear regression and classification tasks.

Classification General Classification +1

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