Sökning: "Machine Learning"

Visar resultat 1 - 5 av 92 uppsatser innehållade orden Machine Learning.

1. One General Approach For Analysing Compositional Structure Of Terms In Biomedical Field
Master-uppsats, Högskolan i Jönköping/JTH. Forskningsmiljö Informationsteknik; Högskolan i Jönköping/JTH. Forskningsmiljö Informationsteknik
Författare :Yang Chao; Peng Zhang; [2013]
Nyckelord :Gene ontology; Machine learning; Classification; Bayes Algorithm; Probability;

Sammanfattning : The root is the primary lexical unit of Ontological terms, which carries the most significant aspects of semantic content and cannot be reduced into small constituents. It is the key of ontological term structure. After the identification of root, we can easily get the meaning of terms. LÄS MER
2. Implementation of Hierarchical Temporal Memory on a Many-core Architecture
Master-uppsats, Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE); Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE)
Författare :XI ZHOU; YAOYAO LUO; [2013]
Nyckelord :;

Sammanfattning : This thesis makes use of a many-core architecture developed by the Adapteva Company toimplement a parallel version of the Hierarchical Temporal Memory Cortical LearningAlgorithm (HTM CLA). The HTM algorithm is a new machine learning model which ispromising in the aspect of pattern recognition and inference. LÄS MER
3. Automated Essay Scoring : Scoring Essays in Swedish
Kandidat-uppsats, Stockholms universitet/Avdelningen för datorlingvistik
Författare :Andre Smolentzov; [2013]
Nyckelord :Automated Essay Scoring; Swedish Essays; supervised machine learning;

Sammanfattning : Good writing skills are essential in the education system at all levels. However, the evaluation of essays is labor intensive and can entail a subjective bias. Automated Essay Scoring (AES) is a tool that may be able to save teacher time and provide more objective evaluations. LÄS MER

4. Evolvering av Biologiskt Inspirerade Handelsalgoritmer
Magister-uppsats, Högskolan i Borås/Institutionen Handels- och IT-högskolan
Författare :Patrick Gabrielsson; [2012-10-23]
Nyckelord :Memory; Algorithmic Trading; Hierarchical Temporal; Neural Networks; Machine Learning; Predictive Modeling; Classification; Evolutionary Computing; Genetic Algorithm; Optimization;

Sammanfattning : One group of information systems that have attracted a lot of attention during the past decade are financial information systems, especially systems pertaining to financial markets and electronic trading. Delivering accurate and timely information to traders substantially increases their chances of making better trading decisions. LÄS MER
5. Random forest och glesa datarespresentationer
Kandidat-uppsats, Högskolan i Borås/Institutionen Handels- och IT-högskolan (HIT)
Författare :Henrik Linusson; Robin Rudenwall; Andreas Olausson; [2012-08-01]
Nyckelord :data mining; machine learning; regression; classification; in silico modeling; random forest; sparse data; feature selection;

Sammanfattning : In silico experimentation is the process of using computational and statistical models to predict medicinal properties in chemicals; as a means of reducing lab work and increasing success rate this process has become an important part of modern drug development. There are various ways of representing molecules - the problem that motivated this paper derives from collecting substructures of the chemical into what is known as fractional representations. LÄS MER