Sökning: "ensemble methods"

Visar resultat 1 - 5 av 121 avhandlingar innehållade orden ensemble methods.

1. 1. Ensemble methods for protein structure prediction

   Författare :Marcin J. Skwark; Arne Elofsson; Michael Tress; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; model quality assessment; contact prediction; homology modeling; ab-initio prediction; consensus prediction; structural bioinformatics; bioinformatics; protein structure; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

   Sammanfattning : Proteins play an essential role in virtually all of life's processes. Their function is tightly coupled to the three-dimensional structure they adopt.Solving protein structures experimentally is a complicated, time- and resource-consuming endeavor. LÄS MER

3. 2. Optimal weather routing using ensemble weather forecasts

   Författare :Lukas Skoglund; Jakob Kuttenkeuler; Anders Rosén; Wengang Mao; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; route optimization; ensemble weather forecasts;

   Sammanfattning : Ships small and large all battle the elements when crossing the worlds oceans.  As such, ships are designed to operate in situations with high speed winds and heavy waves.  There are however limits to what any ship can handle safely and it is thus important to avoid the worst weather systems as much as possible. LÄS MER

4. 3. Nonconformity Measures and Ensemble Strategies : An Analysis of Conformal Predictor Efficiency and Validity

   Författare :Henrik Linusson; Ulf Johansson; Henrik Boström; Alexander Gammerman; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data Science; Machine Learning; Conformal Prediction; Classification; Regression; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Conformal predictors are a family of predictive models that associate with each of their predictions a measure of confidence, enabling them to provide quantitative information about their own trustworthiness. In risk-laden machine learning applications, where bad predictions may lead to economic loss, personal injury, or worse, such inherent quality control appears highly beneficial, if not required. LÄS MER

5. 4. Neural Network Ensembles and Combinatorial Optimization with Applications in Medicine

   Författare :Henrik Haraldsson; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; numerisk analys; machine learning; artificial neural networks; ensemble methods; feature extraction; ECG; combinatorial optimization; mean field annealing; Computer science; numerical analysis; systems; Datalogi; control; system; kontroll; Artificial intelligens; Artificiell intelligens; Fysicumarkivet A:2003:Haraldsson;

   Sammanfattning : Artificial neural network (ANN) and combinatorial optimization algorithms are developed, and applied to the medical domain. A novel method for training an ensemble of ANN is presented, based on random weight updates alternated with replication of networks with low error. LÄS MER

7. 5. Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach

   Författare :Michael Green; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ensemble; artificial neural network; machine learning; acute coronary syndrome; electrocardiogram; case based explanation; decision support system;

   Sammanfattning : Acute coronary syndrome (ACS) is the biggest people killer in the western world today. Despite well trained physicians and reliable diagnostic tools, diagnosing ACS early in the emergency departments (ED) remains a challenge. LÄS MER