Sökning: "supervised machine learning"
Visar resultat 31 - 35 av 87 avhandlingar innehållade orden supervised machine learning.
31. Human mobility behavior : Transport mode detection by GPS data
Sammanfattning : GPS tracking data are widely used to understand human travel behavior and to evaluate the impact of travel. A major advantage with the usage of GPS tracking devices for collecting data is that it enables the researcher to collect large amounts of highly accurate and detailed human mobility data. LÄS MER
32. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision
Sammanfattning : 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. LÄS MER
33. Learning to Assess Grasp Stability from Vision, Touch and Proprioception
Sammanfattning : Grasping and manipulation of objects is an integral part of a robot’s physical interaction with the environment. In order to cope with real-world situations, sensor based grasping of objects and grasp stability estimation is an important skill. LÄS MER
34. Resources and Applications for Dialectal Arabic: the Case of Levantine
Sammanfattning : This is a thesis about the computational study of Dialectal Arabic (DA). In particular, the thesis studies DA, with a special emphasis on Levantine Arabic, and develops tools and resources for the computational study of Dialectal Arabic Natural Language Processing (DANLP). LÄS MER
35. Ensembles of Semantic Spaces : On Combining Models of Distributional Semantics with Applications in Healthcare
Sammanfattning : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. LÄS MER