… We refer to this process as knowledge learning. Knowledge learning systems are traditionally
built … In this chapter, we consider the problem of incremental learning (IL). We show how, in …

… are triggered by the behavior and the incremental learning process of individual users.
Their system deals with the early phase of a skill-acquisition process in which it is important to …

… This is because a small number of classes at each incremental step benefits the accuracy in
the early stages of the incremental learning process, as only a few classes must be classified…

… For instance, companies that do not have a process … it to supervise subsequent process
executions or to generate … In the following, we present a novel approach to learning process …

… learning process, but the training examples appear over time. In this paper we discuss the
methods of incremental learning … the current research in the incremental learning which will be …

… incremental learning. In this paper we will discuss how incremental learning is used with
existing learning … Though with the current work, lot of mining and incremental learning activity is …

… The framework reviewed in this paper presents seven processes for the task of learning
from experience: clustering, initialization, projection, evaluation, refinement, aggregation, and …

… 2.2 Incremental Learning Adding a new ability to a neural net often results in so-called “catastrophic
forgetting” [13], hindering the network’s ability to perform well on old tasks. The …

… can be accessed by the current learning process in the scenario of incremental learning
was debated. Besides, in [12], whether the incremental learning should be motivated to handle …

… Figure 1 gives the brief process of incremental learning. The continuously obtained data are
divided into sequential tasks, which can be represented as { T 1 , T 2 , … , T N } . T i means i-…