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» Measuring and Predicting Object Importance
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TOOLS
2009
IEEE
14 years 5 months ago
Early Crosscutting Metrics as Predictors of Software Instability
Many researchers claim that crosscutting concerns, which emerge in early software development stages, are harmful to software stability. On the other hand, there is a lack of effec...
José María Conejero, Eduardo Figueir...
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 5 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 4 months ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
CODES
2008
IEEE
14 years 20 days ago
A time-predictable system initialization design for huge-capacity flash-memory storage systems
The capacity of flash-memory storage systems grows at a speed similar to many other storage systems. In order to properly manage the product cost, vendors face serious challenges ...
Chin-Hsien Wu
COGSCI
2010
107views more  COGSCI 2010»
13 years 11 months ago
Feature Selection for Inductive Generalization
Judging similarities among objects, events, and experiences is one of the most basic cognitive abilities, allowing us to make predictions and generalizations. The main assumption ...
Na-Yung Yu, Takashi Yamauchi, Huei-Fang Yang, Yen-...