Traditional machine learning systems are deployed under the closed-world setting, which requires entire training data before offline process. However, real-world applications often face incoming new classes, and a model should incorporate them continually. The paradigm is called Class-Incremental Learning (CIL). We propose Python toolbox that implements several key algorithms for class-incremen...

The machine learning algorithms can be divided into two general types: non-incremental that processes all training examples at once and incremental that handles examples one by one. This paper describes the multi-layer incremental inference algorithm (MLII) [1] based on the non-incremental inductive inference algorithm CN2 [2]. In original, the MLII algorithm used linked with the non-incrementa...

The theory of evolution links random variation and selection to incremental adaptation. In a different intellectual domain, learning theory links incremental adaptation (e.g., from positive and/or negative reinforcement) to intelligent behaviour. Specifically, learning theory explains how incremental adaptation can acquire knowledge from past experience and use it to direct future behaviours to...

Corresponding Author: Binjie Gu Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China Email: [email protected] Abstract: In order to model real fermentation process, a soft sensor modelling of biomass concentration during fermentation using accurate incremental online ν-Support Vector Regression (ν-SVR) learning algorithm was p...

Traditional principal components analysis (PCA) techniques for face recognition are based on batch-mode training using a pre-available image set. Real world applications require that the training set be dynamic of evolving nature where within the framework of continuous learning, new training images are continuously added to the original set; this would trigger a costly continuous re-computatio...

the aim of this study was to evaluate blocked, random, gradual incremental and gradual decremental practice schedules on the acquisition and retention of different types of basketball pass (overhead, hand chest , single arm with dominate hand) in 8-10-year-old girls. for this purpose, 60 female students of second, third and fourth grade of elementary school were voluntarily selected and randoml...

It is necessary to use Student dataset in order to analyze student’s performance for future improvements in study methods and overall curricular. Incremental learning methods are becoming popular nowadays since amount of data and information is rising day by day. There is need to update classifier in order to scale up learning to manage more training data. Incremental learning technique is a wa...