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Biomedical Event Extraction with Machine Learning
(Turku Centre for Computer Science, 2014-08-07)
Biomedical natural language processing (BioNLP) is a subfield of natural
language processing, an area of computational linguistics concerned with
developing programs that work with natural language: written texts ...
Sparse Predictive Modeling : A Cost-Effective Perspective
(Turku Centre for Computer Science, 2017-11-10)
Many real life problems encountered in industry, economics or engineering are complex and difficult to model by conventional mathematical methods. Machine learning provides a wide variety of methods and tools for solving ...
A Novel Structure of a Direct Methanol Fuel Cell: Design, Research and Assembly
(Turun yliopistoAnnales Universitatis Turkuensis A I 442, 2012-08-17)
Field Measurements in Determining Incumbent Spectrum Utilization and Protection Criteria in Wireless Co-existence Studies
(Turun yliopistoAnnales Universitatis Turkuensis A I 559, 2017-05-19)
Studies of spectrum sharing and co-existence between different wireless communication systems are important, as the current aim is to optimize their spectrum utilization and shift from static exclusive spectrum allocation ...
Applications of Industrial Statistics
(Turun yliopistoAnnales Universitatis Turkuensis A I 450, 2012-12-21)
This dissertation examines knowledge and industrial knowledge creation
processes. It looks at the way knowledge is created in industrial processes
based on data, which is transformed into information and finally ...
Field-effect based chemical and biological sensing : theory and implementation
(Turun yliopistoAnnales Universitatis Turkuensis A I 552, 2017-01-20)
Electrochemical sensors share many properties of an ideal (bio)chemical sensor. They can be easily miniaturized with high parallel sensing capabilities,with rugged structure and at low cost. The response obtained from ...
Learning Preferences with Kernel-Based Methods
(Turku Centre for Computer Science, 2009-04-21)
Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, ...
On Fault Tolerance Methods for Networks-on-Chip
(Turku Centre for Computer Science, 2009-11-13)
Technology scaling has proceeded into dimensions in which the reliability of manufactured devices is becoming endangered. The reliability decrease is a consequence of physical limitations, relative increase of variations, ...
Segmental Durations of Speech
(Turku Centre for Computer Science, 2010-01-29)
This dissertation considers the segmental durations of speech from the viewpoint of speech technology, especially speech synthesis. The idea is that better models of segmental durations lead to higher naturalness and better ...
Local Binary Patterns in Focal-Plane Processing. Analysis and Applications
(Turku Centre for Computer Science, 2015-06-06)
Feature extraction is the part of pattern recognition, where the sensor data is transformed into a more suitable form for the machine to interpret. The purpose of this step is also to reduce the amount of information passed ...