Sökning: "distributional similarity"

Hittade 5 avhandlingar innehållade orden distributional similarity.

  1. 1. Machine Learning Techniques with Specific Application to the Early Olfactory System

    Författare :Benjamin Auffarth; Anders Lansner; Tony Lindeberg; Tim Pearce; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; feature selection; image features; pattern classification; relevance; redundancy; distributional similarity; divergence measure; genetic algorithms; clustering algorithms; annealing; olfactory coding; olfactory bulb; odorants; glomeruli; property-activity relationship; olfaction; plasticity; axonal guidance; odor category; perception; spatial coding; population coding; memory organization; odor quality; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Sammanfattning : This thesis deals with machine learning techniques for the extraction of structure and the analysis of the vertebrate olfactory pathway based on related methods. Some of its main contributions are summarized below. LÄS MER

  2. 2. Splitting rocks: Learning word sense representations from corpora and lexica

    Författare :Luis Nieto Piña; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; language technology; natural language processing; distributional models; semantic representations; distributed representations; word senses; embeddings; word sense disambiguation; linguistic resources; corpus; lexicon; machine learning; neural networks;

    Sammanfattning : The representation of written language semantics is a central problem of language technology and a crucial component of many natural language processing applications, from part-of-speech tagging to text summarization. These representations of linguistic units, such as words or sentences, allow computer applications that work with language to process and manipulate the meaning of text. LÄS MER

  3. 3. The Word-Space Model : Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces

    Författare :Magnus Sahlgren; Jussi Karlgren; Fabrizio Sebastiani; Stockholms universitet; []
    Nyckelord :;

    Sammanfattning : The word-space model is a computational model of word meaning that utilizes the distributional patterns of words collected over large text data to represent semantic similarity between words in terms of spatial proximity. The model has been used for over a decade, and has demonstrated its mettle in numerous experiments and applications. LÄS MER

  4. 4. Quantifying Meaning

    Författare :Amaru Cuba Gyllensten; Anders Holst; Hinrich Schütze; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Datalogi; Computer Science;

    Sammanfattning : Distributionella semantikmodeller är en klass av maskininlärningsmodeller med syfte att konstruera representationer som fångar semantik, i.e. mening, av objekt som bär mening på ett datadrivet sätt. LÄS MER

  5. 5. Statistical Methods for Taxon Classification and Bird Migration Phenology

    Författare :Måns Karlsson; Ola Hössjer; Jonas Knape; Benjamin Bolker; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Classification; quantile regression; phenology; statistical ornithology; L-functionals; set-valued classification; species identification; statistical ecology; multispecies modelling; matematisk statistik; Mathematical Statistics;

    Sammanfattning : The connection between ecology and statistics is deep. Methodological advancement in statistics open up new possibilities to understand the distribution of life on earth, and research questions in ecology cause new statistical methods to be developed. LÄS MER