Search for dissertations about: "multiple kernel learning"

Found 4 swedish dissertations containing the words multiple kernel learning.

  1. 1. Towards Better Representation Learning in the Absence of Sufficient Supervision

    Author : Arman Rahbar; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Online learning; Neural network; Decision tree; Representation learning; Kernel embedding; Supervision; Knowledge transfer; Feature acquisition;

    Abstract : We focus on the problem of learning representations from data in the situation where we do not have access to sufficient supervision such as labels or feature values. This situation can be present in many real-world machine learning tasks. We approach this problem from different perspectives summarized as follows. READ MORE

  2. 2. Machine Learning Methods Using Class-specific Subspace Kernel Representations for Large-Scale Applications

    Author : Yinan Yu; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; class-specific kernels; large-scale framework; subspace model; classification; kernel approximation; RKHS;

    Abstract : Kernel techniques became popular due to and along with the rising success of Support Vector Machines (SVM). During the last two decades, the kernel idea itself has been extracted from SVM and is now widely studied as an independent subject. READ MORE

  3. 3. A new kernel method for object recognition:spin glass-Markov random fields

    Author : Barbara Caputo; Stefan Arnborg; Kalle Åström; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Datalogi; Datalogi; Computer science; Datalogi;

    Abstract : Recognizing objects through vision is an important part of our lives: we recognize people when we talk to them, we recognize our cup on the breakfast table, our car in a parking lot, and so on. While this task is performed with great accuracy and apparently little effort by humans, it is still unclear how this performance is achieved. READ MORE

  4. 4. Integrative Analysis of Dynamic Networks

    Author : Vinay Jethava; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Lovasz theta function; dynamic networks; integrative analysis; probabilistic graphical models; support vector machines; graph kernels;

    Abstract : Networks play a central role in several disciplines such as computational biology, social network analysis, transportationplanning and many others; and consequently, several methods have been developed for network analysis. However, in many cases, the study of a single network is insufficient to discover patterns with multiple facets and subtlesignals. READ MORE