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HPCA
1998
IEEE
15 years 3 months ago
Supporting Highly-Speculative Execution via Adaptive Branch Trees
Most of the prediction mechanisms predict a single path to continue the execution on a branch. Alternatively, we may exploit parallelism from either possible paths of a branch, di...
Tien-Fu Chen
CP
2009
Springer
15 years 11 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
ECML
2005
Springer
15 years 4 months ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...
ICN
2001
Springer
15 years 3 months ago
An Evaluation of Shared Multicast Trees with Multiple Active Cores
Abstract. Core-based multicast trees use less router state, but have significant drawbacks when compared to shortest-path trees, namely higher delay and poor fault tolerance. We e...
Daniel Zappala, Aaron Fabbri
BIRTHDAY
2009
Springer
15 years 5 months ago
Reasoning About Alternative Requirements Options
This paper elaborates on some of the fundamental contributions made by John Mylopoulos in the area of Requirements Engineering. We specifically focus on the use of goal models and ...
Axel van Lamsweerde