BACKGROUND Reliable models for massive hepatectomy in the mouse are required for experimental liver research. METHODS We analyzed anatomical findings in 100 mice following massive hepatectomy induced by liver reduction >70%. The impact of various factors in the different models was also analyzed, including learning curves, operative time, survival curves and histopathological findings. RESU...

This open‐access article is published and distributed under the Creative Commons Attribution ‐ NonCommercial ‐ No Derivatives License (http://creativecommons.org/licenses/by‐nc‐nd/3.0/), which permits the noncommercial use, distribution, and reproduction of the article in any medium, provided the original author and source are credited. You may not alter, transform, or build upon this article w...

This paper describes the development of a memory-based lemmatiser for Afrikaans called Lia. The paper commences with a brief overview of Afrikaans lemmatisation and it is indicated that lemmatisation is seen as a simplified process of morphological analysis within the context of this paper. This overview is followed by an introduction to memory-based learning – the machine learning technique th...

The aim of the project is the development of an innovative, Open Source-based eLearning portal, which provides high scalability and versatility, as well as it is easy to upgrade; it aims at meeting some changeable requirement in the field of distance learning (yearly or even monthly innovation). The modular structure and flexibility provided by the portal makes this system adaptable to any kind...

Case-based approaches to classification, as instance-based learning techniques, have a particular reliance on training examples that other supervised learning techniques do not have. In this paper we present the RDCL case profiling technique that categorises each case in a casebase based on its classification by the case-base, the benefit it has and/or the damage it causes by its inclusion in t...

Prior art retrieval is the process of determining a set of possibly relevant prior arts for a specific patent or patent application. Such process is essential for various patent practices, e.g. patentability search, validity search, and infringement search. To support the automatic retrieval of prior arts, existing studies generally adopt the traditional information retrieval (IR) approach or e...

This article describes three different methods for introducing machine learning into a hybrid deliberative/reactive architecture for multirobot systems: learning momentum, Q-learning, and CBR wizards. A range of simulation experiments and results are reported using the Georgia Tech MissionLab mission specification system.

This paper is an attempt to develop a distance learning model grounded upon a strict integration of problem based learning (PBL), dynamic knowledge networks (DKN) and web tools, such as hypermedia documents, synchronous and asynchronous communication facilities, etc. The main objective is to develop a theory of distance learning based upon the idea that learning is a highly dynamic cognitive pr...

This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as desirable for a learning agent when in the presence of other learning agents, namely rationality and convergence. We examine existing reinforcement learning algorithms according to these two properties and notice that th...