Machine learning algorithms hold extraordinary promise, but the reality is that their success
depends entirely on the suitability of the data available. This book is about Ripple-Down …

The management of a huge and growing amount of information available nowadays makes
Automatic Document Classification (ADC), besides crucial, a very challenging task …

Recent advances in semantic web have shown how entity related searches have benefited
from entity-based knowledge graphs. However, much of the commonsense knowledge …

Automatic Document Classification (ADC) is still one of the major information retrieval
problems. It usually employs a supervised learning strategy, where we first build a …

Due to the increasing amount of information being stored and accessible through the Web,
Automatic Document Classification (ADC) has become an important research topic. ADC …

One of the most relevant research topics in Information Retrieval is Automatic Document
Classification (ADC). Several ADC algorithms have been proposed in the literature …

Dialogue-based simulation is a real-world practice technique for medical and clinical
education that provides students with an opportunity to train using hands-on experiences …

Documents and web pages share many similarities. Thus classification methods used in
documents can be applied to advanced web content, with or even without modifications …

Many existing recognition algorithms combine different modalities based on training
accuracy but do not consider the possibility of noise at test time. We describe an algorithm …

The widespread use of the Internet has increased the amount of information being stored on
and accessed through the Web. This information is frequently organized as textual …