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ICPR
2010
IEEE
15 years 5 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader
HPDC
2010
IEEE
15 years 8 months ago
Early observations on the performance of Windows Azure
A significant open issue in cloud computing is performance. Few, if any, cloud providers or technologies offer quantitative performance guarantees. Regardless of the potential adv...
Zach Hill, Jie Li, Ming Mao, Arkaitz Ruiz-Alvarez,...
SAC
2010
ACM
16 years 1 months ago
Software transactional memory for implicitly parallel functional language
During the last decade, software transactional memory (STM) gained wide popularity in many areas of parallel computing. In this paper, we introduce LISP-derived language equipped ...
Petr Krajca, Vilém Vychodil
ICAART
2010
INSTICC
16 years 4 months ago
A Pattern Approach to Modeling the Provider Selection Problem
This article introduces the notion of agreement patterns, which provide a framework for modelling reusable problem solution descriptions for agreement fulfilment. In particular, t...
José Javier Durán, Carlos Angel Igle...
NAACL
2010
15 years 5 months ago
Some Empirical Evidence for Annotation Noise in a Benchmarked Dataset
A number of recent articles in computational linguistics venues called for a closer examination of the type of noise present in annotated datasets used for benchmarking (Reidsma a...
Beata Beigman Klebanov, Eyal Beigman