multi-label-classification / PCC
Probabilistic Classifier Chains (PCC) algorithm solving the problem of Multi-Label Classification. For more information see: Krzysztof Dembczyński, Weiwei Cheng, Eyke Hüllermeier, Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010: 279-286
☆13Updated 6 years ago
Alternatives and similar repositories for PCC:
Users that are interested in PCC are comparing it to the libraries listed below
- Active learning for deep learning☆20Updated 6 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 6 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 8 years ago
- Original implementation of Calibrated Boosting-Forest☆18Updated 7 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Robust Ensemble of SVMs☆21Updated 10 years ago
- Multilayer Perceptron Keras wrapper for sklearn☆68Updated 2 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 6 years ago
- minimum Redundancy Maximum Relevance☆21Updated 12 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…☆36Updated 8 years ago
- Active Learning☆57Updated 9 years ago
- Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…☆17Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 11 years ago
- Deep Neural Network Ensembles for Extreme Classification☆42Updated 5 years ago
- Contractive Auto-Encoders in Numpy☆29Updated 12 years ago
- Deep Bayesian Active Semi-Supervised Learning☆11Updated 6 years ago
- A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR☆18Updated 10 years ago
- ☆34Updated 7 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Training word embeddings using hierarchical softmax with a semantic tree.☆17Updated 7 years ago
- A neural network library based on tensorflow and with true sklearn compatibility.☆11Updated 8 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- A tutorial on breast cancer cell classification using deep learning in Tensorflow☆11Updated 7 years ago
- Label Distribution Learning Forest☆30Updated 7 years ago