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Network component analysis: Reconstruction of regulatory signals in biological systems
We develop a method, called network component analysis, for uncovering hidden regulatory signals from outputs of networked systems, when only a partial knowledge of the underlying network topology is available. Expand
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A New Proof for the Existence of Mutually Unbiased Bases
We develop a strong connection between maximally commuting bases of orthogonal unitary matrices and mutually unbiased bases. Expand
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Task Matching and Scheduling in Heterogenous Computing Environments Using a Genetic-Algorithm-Based Approach
A genetic algorithm-based heuristic approach based on a genetic algorithm is developed to do matching and scheduling in HC environments. Expand
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Independent component analysis based on nonparametric density estimation
We introduce a novel nonparametric independent component analysis (ICA) algorithm, which is truly blind to the particular underlying distribution of the mixed signals. Expand
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Transcriptome-based determination of multiple transcription regulator activities in Escherichia coli by using network component analysis.
Cells adjust gene expression profiles in response to environmental and physiological changes through a series of signal transduction pathways. Upon activation or deactivation, the terminal regulatorsExpand
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Optimal encryption of quantum bits
We show that $2n$ random classical bits are both necessary and sufficient for encrypting any unknown state of n quantum bits in an informationally secure manner. We also characterize the complete setExpand
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Leveraging social networks to fight spam
Social networks are useful for judging the trustworthiness of outsiders. Expand
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Covariance selection for nonchordal graphs via chordal embedding
We describe algorithms for maximum likelihood estimation of Gaussian graphical models with conditional independence constraints. Expand
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Discrete Neural Computation: A Theoretical Foundation
1. Introduction. 2. Linear Threshold Element. 3. Computing Symmetric Functions. 4. Depth Efficient Arithmetic Circuits. 5. Depth-Size Tradeoffs. 6. Computing with Small Weights. 7. RationalExpand
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Scale-free and stable structures in complex ad hoc networks.
Unlike the well-studied models of growing networks, where the dominant dynamics consist of insertions of new nodes and connections and rewiring of existing links, we study ad hoc networks, where oneExpand
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