Global ETD Search
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Showing 1 to 5 of 5 for “"PC Algorithm"”.
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Identification of Data Structure with Machine Learning: From Fisher to Bayesian networks
… into the first aspect, Fisher's metric learning algorithms are the foundations of a novel manifold based on the information and complexity of a classification model. When looking at the density aspect, the Probabilistic Quantum clustering, a Bayesian version of the original Quantum Clustering is …
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Development of experiments for the digital signal processing teaching laboratory
… Signal Process, Inc. (ASPI). The use of the 320/pc Algorithm Development Package (ADP) and Digital Filter Design Package (DFDP) developed by ASPI is introduced. The basic concepts, such as linear convolution, Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filter design, Fast …
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Network Inference Using Independence Criteria
… derive regulatory models using network inference algorithms from high-throughput data, for example; from gene or protein expression data. A wide variety of network inference algorithms have been designed and implemented. Our aim is to explore the possibilities of using statistical independence …
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Multi-target Prediction Methods for Bioinformatics: Approaches for Protein Function Prediction and Candidate Discovery for Gene Regulatory Network Expansion
… by volunteer distributed computing, and the PC algorithm to discover candidate causal relationships within each subset of variables. Then, ranking aggregators combine the partial results into a single ranked candidate genes list. OneGenE overcomes the main limitation of NES2RA, i.e. latency, …
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Quantitative Mapping of Cyanobacterial Blooms Using Oceansat-1 OCM Satellite Data
… satellite data and development of remote sensing algorithms to quantify cyanobacterial pigments. The Ocean Color Monitor (OCM) sensor provides radiance measurements similar to Sea-viewing Wide Field-of-View Sensor (SeaWiFS) but with higher spatial resolution. However, OCM does not have a standard …