A bottom-up model to describe consumers’ preferences towards late season peaches

Towards a Simplified Model to Describe Ozone Formation in Europe

Bottom up Specialisation: towards General Foundations ?

In this abstract, we develop a solid theoretical foundation for a bottom-up program specialisation technique, capable of specialising a logic program w.r.t. a set of unit clauses. Extending a well-known operator, originally introduced for composing logic programs, we deene a bottom-up partial deduction operator and prove correctness of the transformation with respect to the S-semantics.

Rough Modeling—a Bottom-up Approach to Model Construction

Traditional data mining methods based on rough set theory focus on extracting models which are good at classifying unseen objects. If one wants to uncover new knowledge from the data, the model must have a high descriptive quality— it must describe the data set in a clear and concise manner, without sacrificing classification performance. Rough modeling, introduced by Kowalczyk (1998), is an ap...

A Bottom Up Approach to Model Based Program Validation

Validators are used to ensure that internet based services present information in an adequate way to the end users. However, today’s validators are not transparent making it difficult for the users to understand their feedback. To enhance the transparency we propose a MDE based approach to program validation, where domain requirements are presented in a metamodel. The validation is based on a b...

A Bottom-Up Model of Skill Learning

We present a skill learning model CLARION. Different from existing models of high-level skill learning that use a topdown approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. CLARION is formed by integrating connectionist, rei...