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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Reduction of Computation Cost in libSVM Using String Kernel Functions
 Kubernát, Tomáš ; Sehnalová, Pavla (referee) ; Michlovský, Zbyněk (advisor)
The goal of this thesis was to implement four string functions into the library libSVM . Then apply series of tests with variable parameters values affecting the individual string functions using the library and string functions. Using the results of experiments the speed and success of clasification of my implementation of string functions in library libSVM was compared with the implementation of string functions in program kernels . In this thesis there are also described procedures of all tests along with measured data and their graphical representation.
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Expert classification and retrieval
 Nascimento Vianna, Felipe ; Pecina, Pavel (advisor) ; Vomlelová, Marta (referee)
Searching for experts is a common demand, especially within organizations. A general task called expertise retrieval relates people to topics and, therefore, can be used for expert finding and/or profiling experts. Currently, most approaches used to solve this task are based on traditional document retrieval methods and do not consider prior profiling information available. In this thesis, it is proposed to map people to topics by training a multi-class classifier using available profile data. The inputs (documents associated to candidates by authorship or other relations) and target data (profile information) were prepared by unsupervised document classification methods and were used to train a neural network. The effects of feature ordering and a convolutional layer are also evaluated. The experiments show that profiling the experts is not only suitable for a recommender system, but also an effective way for expert finding, achieving a performance comparable to state of the art in benchmark tasks such as TREC Enterprise. 1
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Reduction of Computation Cost in libSVM Using String Kernel Functions
 Kubernát, Tomáš ; Sehnalová, Pavla (referee) ; Michlovský, Zbyněk (advisor)
The goal of this thesis was to implement four string functions into the library libSVM . Then apply series of tests with variable parameters values affecting the individual string functions using the library and string functions. Using the results of experiments the speed and success of clasification of my implementation of string functions in library libSVM was compared with the implementation of string functions in program kernels . In this thesis there are also described procedures of all tests along with measured data and their graphical representation.
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