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» Learning Application Models for Utility Resource Planning
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NIPS
2007
15 years 1 months ago
Anytime Induction of Cost-sensitive Trees
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
Saher Esmeir, Shaul Markovitch
JMLR
2008
209views more  JMLR 2008»
14 years 11 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ICSE
2003
IEEE-ACM
15 years 12 months ago
Understanding and Predicting Effort in Software Projects
We set out to answer a question we were asked by software project management: how much effort remains to be spent on a specific software project and how will that effort be distri...
Audris Mockus, David M. Weiss, Ping Zhang
NPL
2007
109views more  NPL 2007»
14 years 11 months ago
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van C...
CLOUDCOM
2010
Springer
14 years 8 months ago
Power of Clouds in Your Pocket: An Efficient Approach for Cloud Mobile Hybrid Application Development
The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resourc...
Ashwin Manjunatha, Ajith Ranabahu, Amit P. Sheth, ...