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» Generalized Distance Functions in the Theory of Computation
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AI
2011
Springer
14 years 8 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
SMA
2003
ACM
123views Solid Modeling» more  SMA 2003»
15 years 6 months ago
Collision prediction for polyhedra under screw motions
The prediction of collisions amongst N rigid objects may be reduced to a series of computations of the time to first contact for all pairs of objects. Simple enclosing bounds and...
ByungMoon Kim, Jarek Rossignac
166
Voted
ICALP
2011
Springer
14 years 5 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
FOCS
2007
IEEE
15 years 7 months ago
On the Hardness and Smoothed Complexity of Quasi-Concave Minimization
In this paper, we resolve the smoothed and approximative complexity of low-rank quasi-concave minimization, providing both upper and lower bounds. As an upper bound, we provide th...
Jonathan A. Kelner, Evdokia Nikolova
POPL
2010
ACM
15 years 11 months ago
Monads in Action
In functional programming, monadic characterizations of computational effects are normally understood denotationally: they describe how an effectful program can be systematically ...
Andrzej Filinski