11. Realiability estimation in regression supported with meta-learning and principal component analysisMarija Radović, 2010, diplomsko delo Ključne besede: reliability estimates, reliability, prediction error, meta-learning, principal component analysis, predictions, machine learning, computer science, diploma Celotno besedilo (datoteka, 1,53 MB) |
12. Visualization and analysis of the space of prediction modelsMiha Štajdohar, 2012, doktorska disertacija Ključne besede: 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 Celotno besedilo (datoteka, 39,32 MB) |
13. Text mining using data compression modelsAndrej Bratko, 2012, doktorska disertacija Ključne besede: text mining, compression, instance selection, active learning, k-means initialization, spam filtering, lexical stress assignment, computer science, doctoral dissertations, theses Celotno besedilo (datoteka, 7,49 MB) |
14. A Markov random field based autonomous image segmentationAleksandar Dimitriev, 2014, diplomsko delo Ključne besede: segmentation, support vector machines, SVM, Markov random field, MRF, unsupervised learning, computer science, computer and information science, diploma Celotno besedilo (datoteka, 3,19 MB) |
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17. Modeling relation between technical parameters of web page design and its aestethicsDražen Perić, 2015, magistrsko delo Ključne besede: web design, machine learning, HTML, CSS, evaluation, chrome extension, computer science, computer and information science, master's degree Celotno besedilo (datoteka, 990,35 KB) |
18. Object detection with constellations of keypointsDomen Rački, 2015, magistrsko delo Ključne besede: one-shot learning, keypoints, geometry, variance, constellation, object detection, SIFT, GHT, MLESAC, MND, computer science, computer and information science, master's degree Celotno besedilo (datoteka, 10,85 MB) |
19. 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, objavljeni znanstveni prispevek na konferenci Ključne besede: 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 Celotno besedilo (povezava drugam) |
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