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FOCS
2008
IEEE
14 years 2 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
CCR
2010
156views more  CCR 2010»
13 years 7 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
IV
2005
IEEE
142views Visualization» more  IV 2005»
14 years 1 months ago
Beyond Guidelines: What Can We Learn from the Visual Information Seeking Mantra?
The field of information visualization offers little methodological guidance to practitioners who seek to design novel systems. Though many sources describe the foundations of the...
Brock Craft, Paul A. Cairns
AOSD
2008
ACM
13 years 9 months ago
Reasoning about aspects with common sense
There has been a lot of debate about the modularity of aspectoriented programs, and in particular the ability to reason about such programs in a modular way, although it has never...
Klaus Ostermann
AAMAS
2008
Springer
13 years 7 months ago
Agents that argue and explain classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
Leila Amgoud, Mathieu Serrurier