cancer is one of the causes of death in the world. several treatment methods exist against cancer cells such as radiotherapy and chemotherapy. since traditional methods have side effects on normal cells and are expensive, identification and developing a new method to cancer therapy is very important. antimicrobial peptides, present in a wide variety of organisms, such as plants, amphibians and ...

Cancer is one of the causes of death in the world. Several treatment methods exist against cancer cells such as radiotherapy and chemotherapy. Since traditional methods have side effects on normal cells and are expensive, identification and developing a new method to cancer therapy is very important. Antimicrobial peptides, present in a wide variety of organisms, such as plants, amphibians and ...

It is well-known that Naive Bayes can only represent linearly separable functions in binary domains. But the learnability of general Augmented Naive Bayes is open. Little work is done on the learnability of Bayesian networks in nominal domains, a general case of binary domains. This paper explores the learnability of Augmented Naive Bayes in nominal domains. We introduce a complexity measure fo...

We augment the naive Bayes model with an n-gram language model to address two shortcomings of naive Bayes text classifiers. The chain augmented naive Bayes classifiers we propose have two advantages over standard naive Bayes classifiers. First, a chain augmented naive Bayes model relaxes some of the independence assumptions of naive Bayes—allowing a local Markov chain dependence in the observed...

Bayes and Naive-Bayes Classifier

Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by these results, researchers have looked to overcome naive Bayes’ primary weakness—attribute independence—and improve the performance of the algorithm. This paper presents a locally weighted version of naive Bayes that relaxe...