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WEBI
2010
Springer
14 years 7 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
QEST
2006
IEEE
15 years 3 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
INTELLCOMM
2004
Springer
15 years 3 months ago
Preserving Referential Constraints in XML Document Association Relationship Update
Abstract. In this paper we propose the usage of W3C-standardized query language, XQuery, to accommodate XML Update. Our main aim is to enable the update without violating the seman...
Eric Pardede, J. Wenny Rahayu, David Taniar
CTCS
1987
Springer
15 years 1 months ago
Good Functors... are Those Preserving Philosophy
of this paper is to prevent the abstract data type researcher from an improper, naive use of category theory. We mainly emphasize some unpleasant properties of the synthesis funct...
Gilles Bernot
ICAISC
2010
Springer
14 years 11 months ago
Computer Assisted Peptide Design and Optimization with Topology Preserving Neural Networks
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
Jörg D. Wichard, Sebastian Bandholtz, Carsten...