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SOCIALCOM
2010
14 years 10 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
124
Voted
TCBB
2011
14 years 7 months ago
Learning Genetic Regulatory Network Connectivity from Time Series Data
Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an efficient method to generate th...
Nathan A. Barker, Chris J. Myers, Hiroyuki Kuwahar...
83
Voted
OSDI
2008
ACM
16 years 28 days ago
Empirical Comparison of Techniques for Automated Failure Diagnosis
Automated techniques to diagnose the cause of system failures based on monitoring data is an active area of research at the intersection of systems and machine learning. In this p...
Songyun Duan, Shivnath Babu
49
Voted
CAISE
2005
Springer
15 years 6 months ago
The Triple Schizophrenia of the Software Engineering Researcher
Abstract In this paper we question the problem of a software engineering researcher, who in his daily work, has to deal with researching, teaching and learning activities at the sa...
David Benavides, Antonio Ruiz Cortés, Carlo...
ICSE
1994
IEEE-ACM
15 years 4 months ago
Lessons from Using Basic LOTOS
We describe three case studies in the use of Basic LOTOS. The studies cover design recovery, requirements speci cation, and design activities. We also report lessons learned from ...
Mark A. Ardis