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ICONIP
2009
15 years 3 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...
IUI
2012
ACM
14 years 1 months ago
Summarizing sporting events using twitter
The status updates posted to social networks, such as Twitter and Facebook, contain a myriad of information about what people are doing and watching. During events, such as sports...
Jeffrey Nichols, Jalal Mahmud, Clemens Drews
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
16 years 1 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...
TACAS
2009
Springer
127views Algorithms» more  TACAS 2009»
16 years 19 days ago
From Tests to Proofs
We describe the design and implementation of an automatic invariant generator for imperative programs. While automatic invariant generation through constraint solving has been exte...
Ashutosh Gupta, Rupak Majumdar, Andrey Rybalchenko
141
Voted
DATE
2007
IEEE
173views Hardware» more  DATE 2007»
16 years 6 days ago
Analytical router modeling for networks-on-chip performance analysis
Networks-on-Chip (NoCs) have recently emerged as a scalable alternative to classical bus and point-to-point architectures. To date, performance evaluation of NoC designs is largel...
Ümit Y. Ogras, Radu Marculescu