Essays about: "Vektorrum"
Showing result 1 - 5 of 15 essays containing the word Vektorrum.
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1. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE
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2. Tensor rank and support rank in the context of algebraic complexity theory
University essay from KTH/Matematik (Avd.)Abstract : Starting with the work of Volker Strassen, algorithms for matrix multiplication have been developed which are time complexity-wise more efficient than the standard algorithm from the definition of multiplication. The general method of the developments has been viewing the bilinear mapping that matrix multiplication is as a three-dimensional tensor, where there is an exact correspondence between time complexity of the multiplication algorithm and tensor rank. READ MORE
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3. Trade-offs between Quality and Efficiency in Multilingual Dense Retrieval
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As the amount of content online grows, information retrieval becomes increasingly crucial. Traditional information retrieval does not take the text order into account and is also dependent on exact text matching between the query and the document. READ MORE
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4. Basil-GAN
University essay from KTH/Matematisk statistikAbstract : Developments in computer vision has sought to design deep neural networks which trained on a large set of images are able to generate high quality artificial images which share semantic qualities with the original image set. A pivotal shift was made with the introduction of the generative adversarial network (GAN) by Goodfellow et al.. READ MORE
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5. An Empirical Study on the Generation of Linear Regions in ReLU Networks : Exploring the Relationship Between Data Topology and Network Complexity in Discriminative Modeling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The far-reaching successes of deep neural networks in a wide variety of learning tasks have prompted research on how model properties account for high network performance. For a specific class of models whose activation functions are piecewise linear, one such property of interest is the number of linear regions that the network generates. READ MORE
