Searched for: author%3A%22Heskes%2C+T.%22
(1 - 5 of 5)
document
Wiel, L. (author), Heskes, T. (author), Levin, E. (author)
We propose a kernel-based online semi-supervised algorithm that is applicable for large scale learning tasks. In particular, we use a multi-view learning framework and a co-agreement strategy to take into account unlabelled data and to improve classification performance of the algorithm. Unlike the standard online methods our algorithm is...
bookPart 2015
document
Tsivtsivadze, E. (author), Borgdorff, H. (author), van de Wijgert, J. (author), Schuren, F. (author), Verhelst, R. (author), Heskes, T. (author)
In many unsupervised learning problems data can be available in different representations, often referred to as views. By leveraging information from multiple views we can obtain clustering that is more robust and accurate compared to the one obtained via the individual views. We propose a novel algorithm that is based on neighborhood co...
conference paper 2013
document
Tsivtsivadze, E. (author), Heskes, T. (author), Paauw, A. (author)
In various learning problems data can be available in different representations, often referred to as views. We propose multi-class classification method that is particularly suitable for multi-view learning setting. The algorithm uses co-regularization and error-correcting techniques to leverage information from multiple views and in our...
conference paper 2013
document
de Ruijter, T. (author), Tsivtsivadze, E. (author), Heskes, T. (author)
We propose an online co-regularized learning algorithm for classification and regression tasks. We demonstrate that by sequentially co-regularizing prediction functions on unlabeled data points, our algorithm provides improved performance in comparison to supervised methods on several UCI benchmarks and a real world natural language processing...
conference paper 2012
document
Cornelisse, L.N. (author), Tsivtsivadze, E. (author), Meijer, M. (author), Dijkstra, T.M.H. (author), Heskes, T. (author), Verhage, M. (author)
Activity regulated neurotransmission shapes the computational properties of a neuron and involves the concerted action of many proteins. Classical, intuitive working models often assign specific proteins to specific steps in such complex cellular processes, whereas modern systems theories emphasize more integrated functions of proteins. To test...
article 2012
Searched for: author%3A%22Heskes%2C+T.%22
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