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Visar resultat 1 - 5 av 7 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Emerging Paradigms in the Convergence of Cloud and High-Performance Computing

   Författare :Daniel Araújo De Medeiros; Ivy Bo Peng; Stefano Markidis; Pawel Herman; Valeria Cardellini; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; High-performance computing; Kubernetes; airflow; elastic scaling; MPI; S3; Datalogi; Computer Science;

   Sammanfattning : Traditional HPC scientific workloads are tightly coupled, while emerging scientific workflows exhibit even more complex patterns, consisting of multiple characteristically different stages that may be IO-intensive, compute-intensive, or memory-intensive. New high-performance computer systems are evolving to adapt to these new requirements and are motivated by the need for performance and efficiency in resource usage. LÄS MER

3. 2. Tree Models for Design Space Exploration in Aerospace Engineering

   Författare :Siva Krishna Dasari; Abbas Cheddad; Lars Lundberg; Pawel Herman; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : A crucial issue in the design of aircraft components is the evaluation of a larger number of potential design alternatives. This evaluation involves too expensive procedures, consequently, it slows down the search for optimal design samples. LÄS MER

4. 3. Modeling Music : Studies of Music Transcription, Music Perception and Music Production

   Författare :Anders Elowsson; Anders Friberg; Pawel Herman; Anders Askenfelt; Gerhard Widmer; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Music Information Retrieval; MIR; Music; Music Transcription; Music Perception; Music Production; Tempo Estimation; Beat Tracking; Polyphonic Pitch Tracking; Polyphonic Transcription; Music Speed; Music Dynamics; Long-time average spectrum; LTAS; Algorithmic Composition; Deep Layered Learning; Convolutional Neural Networks; Rhythm Tracking; Ensemble Learning; Perceptual Features; Representation Learning;

   Sammanfattning : This dissertation presents ten studies focusing on three important subfields of music information retrieval (MIR): music transcription (Part A), music perception (Part B), and music production (Part C).In Part A, systems capable of transcribing rhythm and polyphonic pitch are described. LÄS MER

5. 4. Neuronal assembly formation and non-random recurrent connectivity induced by homeostatic structural plasticity

   Författare :Julia Gallinaro; Pawel Herman; Alexander Kozlov; Stefan Rotter; Wulfram Gerstner; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Plasticity is usually classified into two distinct categories: Hebbian or homeostatic. Hebbian is driven by correlation in the activity of neurons, while homeostatic relies on a negative feedback signal to control neuronal activity. LÄS MER

7. 5. Sequence learning in the Bayesian Confidence Propagation Neural Network

   Författare :Ramon Heberto Martinez Mayorquin; Pawel Herman; Anders Lansner; Matthias Hennig; Thomas Wennekers; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bayesian; learning; neural networks; sequences; Computer Science; Datalogi;

   Sammanfattning : This thesis examines sequence learning in the Bayesian Confidence PropagationNeural Network (BCPNN). The methodology utilized throughout this work is com-putational and analytical in nature and the contributions here presented can beunderstood along the following four major themes: 1) this work starts by revisitingthe properties of the BCPNN as an attractor neural network and then provides anovel formalization of some of those properties. LÄS MER