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ALT
2003
Springer
13 years 8 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 3 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
NETWORK
2007
167views more  NETWORK 2007»
13 years 4 months ago
Sensor Localization under Limited Measurement Capabilities
If we abstract a sensor network as a network graph consisting of vertices and edges, where vertices represent sensor nodes and edges represent distance measurements between neighbo...
Chen Wang, Li Xiao
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
13 years 5 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama
BIRTHDAY
2011
Springer
12 years 5 months ago
Algorithmic Aspects of Risk Management
Abstract. Risk analysis has been used to manage the security of systems for several decades. However, its use has been limited to offline risk computation and manual response. In c...
Ashish Gehani, Lee Zaniewski, K. Subramani