Efficient processing of tera-scale text data is an important research topic. This paper proposes lossless compression of Ngram language models based on LOUDS, a succinct data stru...
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Abstract. When the amount of color data is reduced in a lossy compression scheme, the question of the use of a color distance is crucial, since no total order exists in IRn