Design: Three gold standard corpora were constructed using the SSOAB bibliography, the ACPJ-cited treatment articles, and the ACPJ-cited etiology articles. Citation counts and impact factors were obtained for each article. Support vector machine models were used to classify the articles using combinations of content, impact factors, and citation counts as predictors. Measurements: Discriminator...

 Korean is one of the well-known „pro-drop‟ languages. When translating Korean zero object into languages in which objects have to be overtly expressed, the resolution of zero object is crucial. This paper proposes a machine learning method to resolve Korean zero object. We proposed 8 linguistically motivated features for ML (Machine Learning). Our approach has been implemented with WEKA 3.6.1...

RoboCup simulated soccer presents many challenges to machine learning (ML) methods, including a large state space, hidden and uncertain state, multiple agents, and long and variable delays in the effects of actions. While there have been many successful ML applications to portions of the robotic soccer task, it appears to be still beyond the capabilities of modern machine learning techniques to...

Abstract Background Testing a hypothesis for ‘factors-outcome effect’ is common quest, but standard statistical regression analysis tools are rendered ineffective by data contaminated with too many noisy variables. Expert Systems (ES) can provide an alternative methodology in analysing to identify variables the highest correlation outcome. By applying their effective machine learning (ML) abili...

Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning (ML) techniques to impressive results in regression, classification, data generation and reinforcement learning tasks. Despite these successes, the proximity to the physical limits of chip fabrication alongside the increasing size of datasets is motivating a growing number o...

Wireless Sensor Network (WSN), which are enablers of the Internet Things (IoT) technology, typically used en-masse in widely physically distributed applications to monitor dynamic conditions environment. They collect raw sensor data that is processed centralised. With current traditional techniques state-of-art WSN programmed for specific tasks, it hard react any change environment beyond scope...

Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained by other means. The aim of this paper is to determine experimentally the influence of using such previous experience or prior knowledge (PK), so that the learning process is improved. In particular, we study three dif...