VFDT-split-time-prediction

Adaptation algorithm

An implementation of split-time prediction algorithms for adapting to changing data distributions in various domains.

GitHub

0 stars
0 watching
1 forks
Language: Java
last commit: over 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
vlosing/vfdt-split-time-prediction An implementation of split-time prediction algorithms using the Hoeffding-Tree data structure in Java 0
younghjung/onlinemlrboostingwithvfdt An implementation of online multi-label ranking boosting using VFDT as weak learners 4
predict-idlab/tsflex A toolkit for flexible time series processing and feature extraction. 405
rjt1990/pydata2016-sanfrancisco An analysis of time series methods using PyFlux library and incorporating NFL prediction model. 23
wasidennis/adaptsegnet This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. 850
florentavellaneda/inferdt This C++ project provides an implementation of decision tree algorithms for classification tasks 7
rgavaska/fast-adaptive-bilateral-filtering An implementation of an adaptive image filtering algorithm with local windowed minima and maxima detection 78
springdaisy/gbdt An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data 0
naoto0804/cross-domain-detection Develops object detection algorithms to adapt to new domains with limited supervision 422
mingruiliu-ml-lab/episode_plusplus An algorithm for Federated Learning that handles client subsampling and data heterogeneity with unbounded smoothness 0
predict-idlab/gendis An algorithm to discover small, discriminative patterns in time series data for classification tasks 104
ericzhao28/multidistributionlearning This project provides an implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions, a method for learning from multiple distributions in federated learning. 8
wannesm/dtaidistance A library that implements a fast and efficient distance measure for time series data 1,100
baowenxuan/atp An implementation of adaptive test-time personalization for federated learning in deep neural networks. 16
jiangoforit/yellowfin_pytorch An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. 287