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» On Typing Information Flow
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BMCBI
2010
151views more  BMCBI 2010»
13 years 9 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 9 months ago
Learning to rank with combinatorial Hodge theory
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
TLDI
2010
ACM
218views Formal Methods» more  TLDI 2010»
14 years 6 months ago
Pointwise generalized algebraic data types
In the GADT (Generalized Algebraic Data Types) type system, a pattern-matching branch can draw type information from both the scrutinee type and the data constructor type. Even th...
Chuan-kai Lin, Tim Sheard
SIGIR
2011
ACM
12 years 12 months ago
Find it if you can: a game for modeling different types of web search success using interaction data
A better understanding of strategies and behavior of successful searchers is crucial for improving the experience of all searchers. However, research of search behavior has been s...
Mikhail Ageev, Qi Guo, Dmitry Lagun, Eugene Agicht...
AICCSA
2008
IEEE
266views Hardware» more  AICCSA 2008»
14 years 3 months ago
A novel flow-sensitive type and effect analysis for securing C code
In this paper, we present a novel type and effect analysis for detecting type cast errors and memory errors in C source code. Our approach involves a type system with effect, regi...
Syrine Tlili, Mourad Debbabi