Œe ability to interpret machine learning models has become increasingly important now that machine learning is used to inform consequential decisions. We propose an approach called model extraction for interpreting complex, blackbox models. Our approach approximates the complex model using a much more interpretable model; as long as the approximation quality is good, then statistical properties...

nowadays, it has demonstrated that viruses can be transmitted by water and foods. therefore, it causes the research to develop for detecting different viruses in water and foods. among foods, milk can transfer potentially pathogenic viruses. on the other hand, to achieve every method for recovery and extraction of viruses in raw milk it needs to know about impact of milk components on viruses. ...

We present a method of applying a broad-coverage LFG grammar of German in the process of semi-automatic lexicon acquisition from corpora. The identification of corpus instances that illustrate a certain subcategorization frame uniquely is done by a comparison of the numbers of analyses the grammar assigns to the corpus instances, under the assumption of different hypothetical lexicon entries fo...

In this paper we present a formalization of some ideas from Chomsky (1995) in the framework of multimodal type logical grammar (e.g., Moortgat (1996) and refs). This project is in many respects rather straightforward, but makes use of aspects of the type logical machinery which are generally not used, or at least not used for these purposes, in categorial grammar. This allows us to investigate ...

this study investigates the oil extraction from pistacia khinjuk by the application of enzyme.artificial neural network (ann) and adaptive neuro fuzzy inference system (anfis) were applied formodeling and prediction of oil extraction yield. 16 data points were collected and the ann was trained with onehidden layer using various numbers of neurons. a two-layered ann provides the best results, us...

A class of applications exists where the information to be stored is partially structured: that is, it consists partly of some structured data sources each conforming to a schema and partly of information left as free text. While investigating the requirements for querying partially structured data, we have encountered several limitations in the currently available approaches and we describe he...

In this work we have applied the Dense System Equation of State (DSEOS) to electrolyte solutions. We have found that this equation of state can predict the density of electrolyte solutions very accurately. It has been tested for different electrolytes solutions at different temperatures and compositions. A hypothetical binary model has been applied to find the dependencies of parameters of ...

A hypothetical reasoning system & an important framework in the development of advanced knowledge-based systems. It can be effectively applied to many practical problems including model-based diagnosis, and designs. However, the inference speed of its PROLOG-based implementation is slow, and this is particularly because of inefficient backtracking. In order to overcome this problem, a fast hypo...