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Visar resultat 1 - 5 av 9 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Partial explanations as a basis for learning

   Författare :Lars Asker; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Kunskapshantering; Programmering;

   Sammanfattning : .... LÄS MER

3. 2. Resource Lenient Approaches to Cross Language Information Retrieval : Using Amharic

   Författare :Atelach Alemu Argaw; Lars Asker; Jussi Karlgren; Douglas Oard; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cross language information retrieval; Amharic; stemming; MRD based query translation; transliteration; named entity detection; translation term selection; sense discrimination; POS tagging; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Information Retrieval (IR) deals with finding and presenting information from a collection of documents/data that are relevant to an information need (a query) expressed by a user. Cross Language Information Retrieval (CLIR) is a subfield of IR where queries are posed in a different language than that of the document collection. LÄS MER

4. 3. Algorithms and Representations for Personalised Information Access

   Författare :Rickard Cöster; Lars Asker; Haym Hirsh; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer science; Datavetenskap;

   Sammanfattning : Personalised information access systems use historical feedback data, such as implicit and explicit ratings for textual documents and other items, to better locate the right or relevant information for individual users.Three topics in personalised information access are addressed: learning from relevance feedback and document categorisation by the use of concept-based text representations, the need for scalable and accurate algorithms for collaborative filtering, and the integration of textual and collaborative information access. LÄS MER

5. 4. Combining Machine Learning and Natural Language Processing for Automatic Keyword Extraction

   Författare :Anette Hulth; Lars Asker; Robert Gaizauskas; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; automatic keyword indexing; automatic keyword extraction; machine learning; natural language processing; Computer science; Datavetenskap;

   Sammanfattning : Automatic keyword extraction is the task of automatically selecting a small set of terms describing the content of a single document. That a keyword is extracted means that it is present verbatim in the document to which it is assigned. LÄS MER

7. 5. Order in the random forest

   Författare :Isak Karlsson; Henrik Boström; Lars Asker; Pierre Geurts; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; random forest; ensemble; time series; data series; sequential data; sparse data; high-dimensional data; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. LÄS MER