The nuclear localization of the herpes simplex virus transcriptional activator protein ICP4 was studied by indirect immunofluorescence. At early times after viral infection, ICP4 quickly localized to a diffuse intranuclear distribution. ICP4 later concentrated in globular compartments within the nucleus. The redistribution to the compartments was dependent on viral DNA replication. Double stain...

A large part of the cytoplasm of the cells consists of components forming cytoskeleton. The constituents of the cytoskeleton in epithelial cells are actin-containing microfilaments, tubulin-containing microtubules and intermediate size filaments. The intermediate filaments are called as cytokeratins (CK). Thus, cytokeratins are a family of many different filamentforming proteins (polypeptides) ...

This paper compares two different approaches to computer-aided analysis of ECG signals. ECG records are preprocessed by the wavelet transform, and the machine learning method of decision trees and fuzzy rules induction are used for classification. The wavelet transform allows good localisation of QRS complexes, P and T waves in time and amplitude. The average accuracy of detection of all events...

Algorithms for learning cIassification trees have had successes in artificial intelligence and statistics over many years. This paper outlines how a tree learning algorithm can be derived using Bayesian statistics. This iutroduces Bayesian techniques for splitting, smoothing, and tree averaging. The splitting rule is similar to QuinIan’s information gain, while smoothing and averaging replace p...

The paper presents a new statistical method, for parsing discourse. A parse of discourse is defined as a set of semantic dependencies among sentences tha t make up the discourse. A collection of news articles from a Japanese economics daily are manually marked for dependency and used as a training/ test ing corpus. We use a C4.5 decision tree method to develop a model of sentential dependencies...

The complexity of numerical domain partitioning depends on the number of potential cut points. In multiway partitioning this dependency is often quadratic, even exponential. Therefore, reducing the number of candidate cut points is important. For a large family of attribute evaluation functions only boundary points need to be considered as candidates. We prove that an even more general property...

able databases far outstrips the growth of corresponding knowledge. This creates both a need and an opportunity for extracting knowledge from databases. Many recent results have been reported on extracting different kinds of knowledge from databases, including diagnostic rules, drug side effects, classes of stars, rules for expert systems, and rules for semantic query optimization. The importan...

Richard Maclin Computer Science Department University of Minnesota-Duluth Duluth, MN 55812 email: [email protected] Abstract This paper presents a new algorithm for Boosting the performance of an ensemble of classi ers. In Boosting, a series of classi ers is used to predict the class of data where later members of the series concentrate on training data that is incorrectly predicted by earlier ...

One of the most relevant problems in artificial intelligence is allowing a synthetic device to perform inductive reasoning, i.e. to infer a set of rules consistent with a collection of data pertaining to a given real world problem. A variety of approaches, arising in different research areas such as statistics, machine learning, neural networks, etc., have been proposed during the last 50 years...

We present a visual tablet for exploring the nature of a bagged decision tree (Breiman [1996]). Aggregating classifiers over bootstrap datasets (bagging) can result in greatly improved prediction accuracy. Bagging is motivated as a variance reduction technique, but it is considered a black box with respect to interpretation. Current research seekine: to explain why bagging works has focused ond...