Πλοήγηση ανά Θέμα "Vector spaces"

Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections

Akritidis L., Alamaniotis M., Fevgas A., Bozanis P. (2020)

Short text clustering is a popular problem that focuses on the unsupervised grouping of similar short text documents, or entitled entities. Since the short texts are currently being utilized in a vast number of applications, ...

Immune inspired information filtering in a high dimensional space

Nanas, N.; Kodovas, S.; Vavalis, M.; Houstis, E. (2010)

Adaptive Information Filtering is a challenging computational problem that requires a high dimensional feature space. However, theoretical issues arise when vector-based representations are adopted in such a space. In this ...

Improving Hierarchical Short Text Clustering through Dominant Feature Learning

Akritidis L., Alamaniotis M., Fevgas A., Tsompanopoulou P., Bozanis P. (2022)

This paper focuses on the popular problem of short text clustering. Since the short text documents typically exhibit high degrees of data sparseness and dimensionality, the problem in question is generally considered more ...

Nonlinear oscillatory fully-developed rarefied gas flow in plane geometry

Tsimpoukis A., Vasileiadis N., Tatsios G., Valougeorgis D. (2019)

The nonlinear oscillatory fully developed rarefied gas flow between parallel plates due to an external harmonic force is investigated by the Direct Simulation Monte Carlo (DSMC) method in terms of the parameters characterizing ...

Revisiting evolutionary information filtering

Nanas, N.; Kodovas, S.; Vavalis, M. (2010)

Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user's interests, called user profile, which constantly adapts to changes in them. Evolutionary ...