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CORR
2007
Springer
170views Education» more  CORR 2007»
15 years 6 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
SOPR
2008
60views more  SOPR 2008»
15 years 6 months ago
Human resources based improvement strategies - the learning factor
: Processes usually are defined according to underlying standards (ISO 15504, ESA ECSS, ISO 9001, ...) and are described with process steps to be performed by roles and producing r...
Richard Messnarz, Damjan Ekert, Michael Reiner, Ge...
ICML
2007
IEEE
16 years 7 months ago
Bayesian compressive sensing and projection optimization
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Shihao Ji, Lawrence Carin
ICML
2005
IEEE
16 years 7 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
KDD
2005
ACM
99views Data Mining» more  KDD 2005»
16 years 6 months ago
Determining an author's native language by mining a text for errors
In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy. Specifically, we first use automat...
Moshe Koppel, Jonathan Schler, Kfir Zigdon