This paper presents rough sets generating prediction rules scheme for stock price movement. The scheme was able to extract knowledge in the form of rules from daily stock movement...
Hameed Al-Qaheri, Shariffah Zamoon, Aboul Ella Has...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
: When the words of a language are communicated via a noisy channel, the language property of error-detection ensures that no word of the language can be transformed to another wor...
Structure-preserving signatures are signatures defined over bilinear groups that rely on generic group operations. In particular, the messages and signatures consist of group elem...