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» Active Learning with Model Selection in Linear Regression
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MFCS
2007
Springer
14 years 2 months ago
Evolvability
A framework for analyzing the computational capabilities and the limitations of the evolutionary process of random change guided by selection was recently introduced by Valiant [V...
Leslie G. Valiant
ASPDAC
2006
ACM
157views Hardware» more  ASPDAC 2006»
14 years 2 months ago
Delay modeling and static timing analysis for MTCMOS circuits
- One of the critical issues in MTCMOS design is how to estimate a circuit delay quickly. In this paper, we propose a delay modeling and static timing analysis (STA) methodology ta...
Naoaki Ohkubo, Kimiyoshi Usami
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 9 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
ECTEL
2009
Springer
13 years 6 months ago
A Framework to Author Educational Interactions for Geographical Web Applications
This paper focuses on the production of authoring tools that teachers may use to prototype interactive geographical web applications. We present some computational models and a too...
The Nhan Luong, Thierry Nodenot, Philippe Lopist&e...
CIKM
2011
Springer
12 years 8 months ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...