- Word sequences as features in textlearning Dunja Mladeni'c & Marko Grobelnik
- Efficient text categorization Marko Grobelnik and Dunja Mladeni'c
- Automated parameter Parameter setting in machine learning is a frequent problem. We propose
- Automated model selection Dunja Mladeni'c
- Predlog teme doktorske disertacije: Machine Learning on nonhomogeneous, distributed text data
- Introduction 1.1 Motivation
- Predicting content from hyperlinks Dunja Mladeni'c & Marko Grobelnik
- Knowledge acquisition for discrete event systems using machine learning
- Feature subset selection 4.1 Approaches to feature subset selection
- Integrated system for encyclopaedia typesetting based on T E X
- Drug design by machine learning: Modelling drug Dunja Mladeni'c, Aram Karalic
- Explanation of decision trees When using machine learning for knowledge acquisition, consultation with a
- Document representation and learning algorithms
- Introduction This thesis address too problems of machine learning: (1) automated set
- Curriculum Vitae, Dunja Mladenic Research interests: Artificial Intelligence, Machine Learning, Text and Web Mining, Data
- Learning from class hierarchy Machine learning techniques enable inclusion of domain specific knowledge, usually re
- Textlearning and related intelligent agents Dunja Mladeni'c
- Combinatorial optimization in inductive concept learning
- Turning Yahoo into an Automatic WebPage Dunja Mladeni'c 1
- Feature selection for classification based on text hierarchy Dunja Mladeni'c and Marko Grobelnik
- How can computer learn with Logo Dunja Mladeni'c
- Machine learning used by Personal WebWatcher Dunja Mladeni'c
- Assigning keywords to documents using machine learning Dunja Mladeni'c and Marko Grobelnik
- Declarative bias in Atris rule induction shell Dunja Mladeni'c
- Visualization of domain and concept descriptions
- Visualization of domain and concept descriptions
- BrowsingAssistenten, Tour Guides und adaptive WWWServer Thorsten Joachims
- Textlearning and intelligent agents \Lambda Dunja Mladeni'c
- Feature Selection on Hierarchy of Web Documents Dunja Mladenic and Marko Grobelnik
- Using machine learning techniques to interpret results from discrete event
- Predicting word occurrences 6.1 Problem description
- Conclusions The described work consists of two main parts that are to a great extent
- Machine learning for better Web browsing Dunja Mladeni'c
- Conclusions and discussion 7.1 Summary and discussion
- Classification tree chaining in data analysis Dunja Mladeni'c 1 , Marko Grobelnik 2 , Ray J. Paul 3 , Ivan Bratko 1;2
- Feature subset selection in textlearning Dunja Mladeni'c
- Bibliography [1] Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., & Verkamo, A.I. (1996). Fast
- Using machine learning techniques to interpret results from discrete event simulation
- Knowledge acquisition for discrete event systems using machine learning
- Stochastic search in inductive concept learning Dunja Mladeni'c, Darko Zupanic
- Machine learning for better Web browsing Dunja Mladeni'c
- Experimental methods and 2.1 Problem definition
- UNIVERZA V LJUBLJANI Fakulteta za elektrotehniko in racunalnistvo
- Using machine learning techniques to interpret results from discrete event
- Intelligent Data Analysis in Medicine and Pharmacology
- Inducing knowledge from examples Dunja Mladeni'c
- 1 Introduction 1 1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
- Visualization of news articles Informatica 28:4 (2004) 375380 Visualization of news articles
- Semantic technology for capturing communication inside organization
- Curriculum Vitae, Dunja Mladeni Prof. Dunja Mladeni is an expert on study and development
- Approaching Analysis of EU IST Projects Database Marko Grobelnik
- Tutorial on Text Mining and Link Analysis for Web and
- Yahoocategories construction
- Personal WebWatcher: design and implementation
