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IJAR
2006
89views more  IJAR 2006»
15 years 4 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
ENTCS
2007
98views more  ENTCS 2007»
15 years 4 months ago
Type Systems for Optimizing Stack-based Code
We give a uniform type-systematic account of a number of optimizations and the underlying analyses for a bytecode-like stack-based low-level language, including analysis soundness...
Ando Saabas, Tarmo Uustalu
IIE
2007
56views more  IIE 2007»
15 years 4 months ago
Recursion Versus Iteration with the List as a Data Structure
Abstract. A reversible sequence of steps from the specification of the algorithm and the mathematical definition of the recurrent solution through the recursive procedure, the ta...
Izabella Foltynowicz
151
Voted
SIGIR
2008
ACM
15 years 4 months ago
Personal vs non-personal blogs: initial classification experiments
We address the task of separating personal from non-personal blogs, and report on a set of baseline experiments where we compare the performance on a small set of features across ...
Erik Elgersma, Maarten de Rijke
IFE
2002
69views more  IFE 2002»
15 years 4 months ago
Generierung interaktiver Animationen von Berechnungsmodellen
In this article we introduce two new generative approaches of animated computational models. These approaches are applied in context of educational software systems for compiler de...
Stephan Diehl, Andreas Kerren