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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
PLDI
2010
ACM
16 years 4 months ago
Ur: Statically-Typed Metaprogramming with Type-Level Record Computation
Dependent types provide a strong foundation for specifying and verifying rich properties of programs through type-checking. The earliest implementations combined dependency, which...
Adam Chlipala
ICDE
2010
IEEE
177views Database» more  ICDE 2010»
16 years 1 months ago
Optimal load shedding with aggregates and mining queries
— To cope with bursty arrivals of high-volume data, a DSMS has to shed load while minimizing the degradation of Quality of Service (QoS). In this paper, we show that this problem...
Barzan Mozafari, Carlo Zaniolo
LCTRTS
2009
Springer
16 years 1 months ago
Eliminating the call stack to save RAM
Most programming languages support a call stack in the programming model and also in the runtime system. We show that for applications targeting low-power embedded microcontroller...
Xuejun Yang, Nathan Cooprider, John Regehr
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
16 years 24 days ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...