1. Computational approaches for gene network discoveryTomaž Curk, 2007, doctoral dissertation Keywords: machine learning, bioinformatics, visualization, rule-based clustering, gene networks, functional genomics, modeling regulation of gene expression, decomposition of gene expression profile signatures, dissertations Full text (file, 1,64 MB) |
2. Attribute interactions in machine learningAleks Jakulin, 2002, master's thesis Keywords: machine learning, data mining, classification, pattern recognition, interaction, dependence, independence, constructive induction, feature construction Full text (file, 1,25 MB) |
3. Argument based machine learningMartin Možina, 2009, doctoral dissertation Keywords: artificial intelligence, machine learning, background knowledge, domain knowledge, argument based machine learning, ABML, CN2, ABCN2, extreme value corection, computer science, doctoral dissertations, theses Full text (file, 1,15 MB) |
4. Realiability estimation in regression supported with meta-learning and principal component analysisMarija Radović, 2010, undergraduate thesis Keywords: reliability estimates, reliability, prediction error, meta-learning, principal component analysis, predictions, machine learning, computer science, diploma Full text (file, 1,53 MB) |
5. Glasovni nadzor interpreterja ZPlet z uporabo sistema Sphinx-4Nejc Bernot, 2012, undergraduate thesis Keywords: razpoznava govora, Sphinx-4, Z-machine, ZPlet, računalništvo, univerzitetni študij, diplomske naloge Full text (file, 1,54 MB) |
6. Visualization and analysis of the space of prediction modelsMiha Štajdohar, 2012, doctoral dissertation Keywords: vizualizacija informacij, analiza podatkov, vizualno odkrivanje znanja v podatkih, strojno učenje, klasifikacija, uvrščanje, razpoznavanje vzorcev, meta učenje, kombiniranje algoritmov strojnega učenja, risanje omrežij, analiza omrežij, optimizacija ponazoritve omrežij, odkrivanje gruč v omrežjih, information visualization, exploratory data analysis, visual data mining, machine learning, data mining, meta learning, ensemble learning, network layout optimization, network analysis, community deetection in graphs, computer science, doctoral dissertations, theses Full text (file, 39,32 MB) |
7. Spruce bark beetles (Ips typographus, Pityogenes chalcographus, Col.: Scolytidae) in the Dinaric mountain forests of SloveniaMaja Jurc, Marko Perko, Sašo Džeroski, Damjan Demšar, Boris Hrašovec, 2006, published scientific conference contribution Keywords: žuželke, navadna jelka, Slovenija, monitoring, Spruce bark beetles, Ips typographus, Pityogenes chalcographus, Norwey spruce, monitoring, phenology, catastrophic weather conditons, position, linear regression, machine learning, model trees Full text (outside link) |
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