gditzler / IncrementalLearning
Implementation of incremental learning algorithms for Matlab.
☆17Updated 10 years ago
Alternatives and similar repositories for IncrementalLearning:
Users that are interested in IncrementalLearning are comparing it to the libraries listed below
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018☆14Updated 6 years ago
- Multi-task feature learning☆15Updated 6 years ago
- A collection of resources for concept drift data and software☆36Updated 9 years ago
- Generate synthetic data sets containing concept drift, or load one of two real-world concept drift benchmark data sets.☆12Updated 11 years ago
- Datasets for concept drift detection☆27Updated 7 years ago
- A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Sele…☆16Updated 4 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Scikit-learn compatible Kernel Entropy Component Analysis in Python☆13Updated 8 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Updated 8 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…☆43Updated 7 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆21Updated 6 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 4 years ago
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Updated 6 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 5 years ago
- ☆44Updated 5 years ago
- Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL☆14Updated 7 years ago
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 5 years ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆19Updated 9 years ago
- ☆47Updated 6 years ago
- Online Streaming Feature Selection☆27Updated last month
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 6 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆17Updated 10 years ago
- ☆19Updated 5 years ago
- Sparse principal component analysis as a nonlinear eigenproblem☆15Updated 4 years ago