None so naive as the well meaning

None so blind as those who will not see.

Not so naive Bayesian classification

Of numerous proposals to improve the accuracy of naive Bayes by weakening its attribute independence assumption, both LBR and TAN have demonstrated remarkable error performance. However, both techniques obtain this outcome at a considerable computational cost. We present a new approach to weakening the attribute independence assumption by averaging all of a constrained class of classifiers. In ...

Not So Naive Online Bayesian Spam Filter

Spam filtering, as a key problem in electronic communication, has drawn significant attention due to increasingly huge amounts of junk email on the Internet. Content-based filtering is one reliable method in combating with spammers changing tactics. Naı̈ve Bayes (NB) is one of the earliest content-based machine learning methods both in theory and practice in combating with spammers, which is eas...

Aspectual Meaning as Construction Meaning

Coercion effects, including aspectual ones, appear to indicate a modular grammatical architecture, in which the process of composition may add meanings absent in the syntax in order to ensure that certain functors, e.g., the progressive operator, receive suitable arguments (Herweg 1991, Jackendoff 1997, De Swart 1998). In this paper, coercion effects are instead taken as evidence for the existe...

On the Placement of an Obstacle or a Well so as to Optimize the Fundamental Eigenvalue