Data Handling in Biology--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Written in a clear, engaging style, Large Scale Data Handling in Biology is for scientists and students who are learning computational approaches to biology. The book covers the data storage system, computational approaches to biological problems, an introduction to workflow systems, data mining, data visualization, and tips for tailoring existing data analysis software to individual research needs....
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-of-speech tagging, syntactic chunking, and named entity recognition. We ﬁrst propose a simple yet powerful semi-supervised discriminative model appropriate for handling large scale unlabeled data. Then, we describe experiments performed on widely used test collections, namely, PTB III data, CoNLL’00 and ’03 shared task data for the above three NLP tasks, respectively. ...
Ready to go to the next level with Rails? From examining the parts of Ruby that make this framework possible to deploying large Rails applications, Advanced Rails offers you an in-depth look at techniques for dealing with databases, security, performance, web services and much more.
Chapters in this book help you understand not only the tricks and techniques used within the Rails framework itself, but also how to make use of ideas borrowed from other programming paradigms.
powerful and widely-used method for analyzing the performance behavior of
parallel programs is event tracing. When an application is traced, performancerelevant
events, such as entering functions or sending messages, are recorded at runtime
and analyzed post-mortem to identify and potentially remove performance problems.
While event tracing enables the detection of performance problems at a high
level of detail, growing trace-file size often constrains its scalability on large-scale
systems and complicates management, analysis, and visualization of trace data.