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Get Complete Project Material File(s) Now! » Sparse Coding The notion of sparsity appears in different forms in the biological neural systems. The very first stage of sparsity in the brain is at the reception of numerous input stimuli. The...
Get Complete Project Material File(s) Now! » Active Learning and Version Space Algorithms In this first section, we provide an overview of the active learning domain and, in particular, version space techniques. Active Learning Settles [2012] and Monarch [2021] provide...
Get Complete Project Material File(s) Now! » Adverse drug reactions detection Improving Adverse Drug Reaction (ADR) detection is one of the promises carried by the increased volume and availability of observational data [Sta+10]. ADRs can be defined as a harmful...
Get Complete Project Material File(s) Now! » Articial neural networks Articial neural networks have been studied since the 40s. Some of the proposed arti- cial neural networks build on biological ndings and therefore, have a certain degree of biological realism...
Get Complete Project Material File(s) Now! » First Contribution: Runtime-based Patch Generation The first contribution of this thesis consists of three novel techniques that produce patches based on a buggy execution and its running state. It addresses the first problem...
Get Complete Project Material File(s) Now! » Group analysis with the GLM for fMRI data In fMRI experiments, usually the same experiment is performed by multiple participants. Analysing data from a group of participants, which is often denoted as group-level...
Get Complete Project Material File(s) Now! » Learning on transcriptomic data : problem and notations With the rapid development of transcriptomic technologies, now it is possible to simultaneously track the expression levels of thousands of genes or transcripts (fea-tures) during...
Get Complete Project Material File(s) Now! » Toward high-level modification of geometric models There is a rich variety of geometric representations for describing and manipulating complex geometric shapes and especially, surface models. As explained in the previous chapter, the B-Rep...
Get Complete Project Material File(s) Now! » Least Squares Policy Iteration and Bellman Residual Minimizing Policy Iteration The Least Squares Policy Iteration (LSPI) algorithm (Lagoudakis and Parr, 2003) and the Bellman Residual Minimizing Policy Iteration (BRMPI) algorithms are approxi-mate PI...
Get Complete Project Material File(s) Now! » Geometric modeling in product design activities The most common methods of representation of geometric entities (curves and sur-faces) in geometric modeling are parametric, implicit and explicit methods. The explicit methods (Foley, van Dam,...