Search for dissertations about: "probability based classification"

Showing result 1 - 5 of 69 swedish dissertations containing the words probability based classification.

  2. 1. Detection and Classification in Electrocardiac Signals

    Author : Magnus Åström; Institutionen för elektro- och informationsteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Signal processing; morphology classification; QRS detection; ischemia; body position changes; electrogram; ECG; electrocardiogram; clustering; classification; Detection; sensing;

    Abstract : Signal processing can be used to condition medical signals to facilitate their interpretation, and to extract clinically important information. The purpose of the present doctoral thesis is to put forward solutions to certain problems encountered in the processing of electrocardiac signals. READ MORE

  4. 2. Molecular Classification of Bladder Cancer

    Author : Gottfrid Sjödahl; Bröstcancer-genetik; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Bladder cancer; Subtype; Classification;

    Abstract : Decisions in the treatment of bladder cancer today are based on clinical and pathological risk variables such as tumor stage and tumor grade. The importance of these conventional risk variables is well documented since more than 10 years, and they are used routinely in the clinics. READ MORE

  5. 3. 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

  6. 4. Aggregating Case Studies of Vehicle Crashes by Means of Causation Charts : An Evaluation and Revision of the Driving Reliability and Error Analysis Method

    Author : Jesper Sandin; Per Lövsund; Chalmers University of Technology; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Accident; Cause; Classification; Characteristics; Driver; Error; 81 Road: Accidents; 81 Road: Accidents; 841 Road: Road user behaviour; 841 Road: Road user behaviour;

    Abstract : There is a need for increased knowledge about causes to motor-vehicle crashes and their prevention. Multidisciplinary in-depth case studies can provide detailed causation data that is otherwise unattainable. Such data might allow the formulation of hypotheses of causes and causal relationships for further study. READ MORE

  7. 5. Network models with applications to genomic data: generalization, validation and uncertainty assessment

    Author : José Sánchez; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Inverse covariance matrix; precision matrix; graphical models; high-dimension; low-sample; networks; sparsity; fused lasso; elastic net; cancer; TCGA pan cancer analysis; online resource; discriminant analysis; classification; networks;

    Abstract : The aim of this thesis is to provide a framework for the estimation and analysis of transcription networks in human cancer. The methods we develop are applied to data collected by The Cancer Genome Atlas (TCGA) and supporting simulations are based on derived models in order to reflect real data structure. READ MORE