This SV system is suitable for incremental learning of new signature samples.
A novel DPSO-based learning strategy is also presented for incremental learning of new data with this ACS.
This paper presents a survey of techniques found in literature that are suitable for incremental learning of HMM parameters.
Performance of this system is assessed in terms of classification rate and resource requirements for incremental learning of data blocks coming from real-world video data bases.
One thing that is agreed is that these algorithms can only return approximate models since data cannot be revisited to fine-tune the models [7], hence the need for incremental learning.
However, the state-of-the-art algorithms for incremental learning, for structured decision theoretic planning or for reinforcement learning require the problem to be specified only with binary variables and/or use data structures that can be improved in term of compactness.
Our finding of an effect of hippocampal damage on this type of learning is consistent with the theory that the hippocampal formation is important for incremental learning of the latent structure of the world, such as stimulus regularities and environmental context [64].
