Search Results (94)
Ostanki bisfenolov v vodnem okolju: pojavnost in kroženje
Bisphenols are a group of industrial chemicals increasingly recognized as contaminants of emerging concern because of their presence in the environment and endocrine disrupting effects. They are used in the production of polycarbonate plastic, epoxy resins and thermal paper, in most cases without restriction. The global exception is bisphenol A, …
Vacuum metrology and the role of surface conditions on the tangential momentum accommodation of molecules in a rarefied gas
The interactions between gas molecules and a surface strongly affect the behaviour of systems in a large array of research fields, such as vacuum science and metrology, microfluidics, particle physics, and nuclear physics. In this work, focus is given to the momentum accommodation of gas molecules. The parameter used in …
Complex nodes in trees for structured output prediction
In this thesis, we integrate complex nodes into predictive clustering trees (PCTs). PCTs are well-established machine learning models that are very flexible in terms of the machine learning tasks that they can address, including structured output prediction and semisupervised learning. Like standard decision trees, they are learned with a greedy …
Text mining for cross-domain knowledge discovery
One of the prevailing tendencies in science is research over-specialization, resulting in deep but relatively isolated islands of knowledge. Due to the huge amounts of scientific information produced at an increasingly fast pace, it has become difficult to follow even the specific literature limited to a single domain of specialization. …
Iodine(I) compounds: Catalysts for iodination of organic molecules
The use of hydrogen peroxide as enviromentally benign oxidant for the oxidative iodination of organic molecules with iodine in the presence of halide ions as catalysts for the formation of iodine(I) species was investigated. The study of the reaction system iodine/ hydrogen peroxide/ acid revealed the formation of iodine(I) compound …
Detection of anomalous and suspicious behavior patterns from spatio-temporal agent traces
Many applications, including smart environments, surveillance, human-robot interaction, and ambient assisted living, involve the problem of learning patterns of agent behavior from sensor data. Deviant behavior is a pattern in the data that either does not conform to the expected behavior, that is, anomalous behavior, or matches previously defined unwanted …
Radon as a tool in geophysical research
Radon (222Rn, half-life 3.82 days) is a natural radioactive noble gas which originates from the radioactive decay of radium (226Ra) in the Earth's crust. It is a known hazard to humans, due to its radioactivity. Moreover, radon can also be used as a versatile tool in geophysical research. In order …
A Machine Learning Approach to Polynomial Regression
In the thesis, we address the task of polynomial regression, i.e., inducing regression models based on polynomial equations, from data. We aim at improving and extending the existing approaches to learning polynomial regression models in several directions. First, we improve the existing methods for addressing the issue of over-fitting and …
Algorithms for Learning Regression Trees and Ensembles on Evolving Data Streams
In this thesis we address the problem of learning various types of decision trees from timechanging data streams. In particular, we study online machine learning algorithms for learning regression trees, linear model trees, option trees for regression, multi-target model trees, and ensembles of model trees from data streams. These are …
An Evaluation Method for Feature Rankings
Feature ranking is the machine learning task of inducing an ordering of features in a given dataset according to some notion of relevance. We consider the feature ranking task in the context of supervised learning, where the notion of feature relevance is defined with respect to a target concept. Feature …