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ICGI
2004
Springer
15 years 4 months ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
ENTCS
2007
109views more  ENTCS 2007»
14 years 11 months ago
Free Theorems and Runtime Type Representations
’s abstraction theorem [21], often referred to as the parametricity theorem, can be used to derive properties about functional programs solely from their types. Unfortunately, i...
Dimitrios Vytiniotis, Stephanie Weirich
FOCS
2008
IEEE
15 years 5 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 ...
POPL
2005
ACM
15 years 11 months ago
Region-based shape analysis with tracked locations
This paper proposes a novel approach to shape analysis: using local reasoning about individual heap locations of global reasoning about entire heap abstractions. We present an int...
Brian Hackett, Radu Rugina
INTERACTIONS
2010
92views more  INTERACTIONS 2010»
14 years 8 months ago
PUX: patterns of user experience
s from a concrete to a new abstract level of description [1]. Rises in abstraction level happen regularly in all fields, but the key difference in Alexander's work was that ra...
Alan F. Blackwell, Sally Fincher