the source domain to the target domain. Incremental learning has played an important role in lowering the risk of … multiple rounds strategy, incremental learning, and negative transfer avoidance algorithms. These techniques enhance the …

so-called incremental learning process.In the empirical evaluation phase, there are two key factors that are essential in …

Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the … incremental learning with statistical algorithms or neural networks, rather than evolutionary algorithms. The work in this paper … employs genetic algorithms (GAs) as basic learning algorithms for incremental learning within one or more classifier agents in …

Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the … incremental learning with statistical algorithms or neural networks, rather than evolutionary algorithms. The work in this paper … employs genetic algorithms (GAs) as basic learning algorithms for incremental learning within one or more classifier agents in …

for incremental learning with Support Vector Machines is presented, that improves existing approaches. Empirical evidence … incremental learning setting. …

for incremental learning with Support Vector Machines is presented, that improves existing approaches. Empirical evidence … incremental learning setting. …

for incremental learning with Support Vector Machines is presented, that improves existing approaches. Empirical evidence … incremental learning setting. …