Search for dissertations about: "incomplete data"

Showing result 1 - 5 of 195 swedish dissertations containing the words incomplete data.

2. 1. Anomaly detection in trajectory data for surveillance applications

   Author : Rikard Laxhammar; Örebro universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Anomaly detection; trajectory analysis; statistical methods; conformal prediction; automated surveillance; Computer science; Datavetenskap; Computer and Systems Science; Datalogi; Conformal prediction; Teknik; Technology;

   Abstract : Abnormal behaviour may indicate important objects and events in a wide variety of domains. One such domain is intelligence and surveillance, where there is a clear trend towards more and more advanced sensor systems producing huge amounts of trajectory data from moving objects, such as people, vehicles, vessels and aircraft. READ MORE

4. 2. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

   Author : Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

   Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE

5. 3. Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach

   Author : Esteban Guerrero Rosero; Helena Lindgren; Juan Carlos Nieves; Chris Reed; Umeå universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Complex activity; Argumentation Theory; Activity Theory; Logic programming; Knowledge representation; Common-sense reasoning; Artificial Intelligence; business data processing; administrativ databehandling;

   Abstract : The aim of this thesis is to develop theories and formal methods to endow a computing machinery with capabilities to identify, represent, reason and evaluate complex activities that are directed by an individual’s needs, goals, motives, preferences and environment, information which can be inconsistent and incomplete.Current methods for formalising and reasoning about human activity are typically limited to basic actions, e. READ MORE

6. 4. Probabilistic Models for Species Tree Inference and Orthology Analysis

   Author : Ikram Ullah; Jens Lagergren; Arndt von Haeseler; KTH; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; phylogenetics; phylogenomics; gene tree; species tree; expectation maximization; mixture model; dynamic programming; markov chain monte carlo; PrIME; JPrIME; Computer Science; Datalogi;

   Abstract : A phylogenetic tree is used to model gene evolution and species evolution using molecular sequence data. For artifactual and biological reasons, a gene tree may differ from a species tree, a phenomenon known as gene tree-species tree incongruence. Assuming the presence of one or more evolutionary events, e.g. READ MORE

7. 5. On the Asymptotics of Increasing Dimension Models : Methods for Complete or Incomplete Data

   Author : Peter Karlsson; Thomas Holgersson; Rolf Larsson; Högskolan i Jönköping; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Statistics; Statistik;

   Abstract : In some multivariate contexts there is a close relation between the number of parameters (p) and the number of observations (n). In a situation where p grows with n it frequently happens that the statistic does not converge to its true parameter. READ MORE