t-sakai-kure / PNU
MATLAB code for semi-supervised learning based on positive-unlabeled learning
☆11Updated 7 years ago
Alternatives and similar repositories for PNU:
Users that are interested in PNU are comparing it to the libraries listed below
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆11Updated 5 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- A MATLAB/OCTAVE library for Multi-Label Classification☆35Updated 6 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆20Updated 6 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 5 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 7 years ago
- MATLAB Implementation of SMOTE related algorithms☆31Updated 8 months ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆19Updated 9 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆168Updated 8 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
- Python implementation of SimpleMKL algorithm for multi-kernel SVM learning☆11Updated 7 years ago
- Joint Distribution Adaptation ICCV2013☆15Updated 7 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 7 years ago
- The implementation for heterogeneous feature augmentation (HFA)☆17Updated 3 years ago
- Manifold Regularized Discriminative Feature Selection for Multi-label Learning (PR'19)☆19Updated 4 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆23Updated 10 years ago
- Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization☆13Updated 6 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 6 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
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago
- ☆9Updated 7 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆26Updated 4 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- Matlab code for "Multiple kernel extreme learning machine"☆14Updated 5 years ago
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Updated 3 years ago
- Laplacian Support Vector Machines☆20Updated 5 years ago
- Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation☆14Updated 2 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 3 years ago