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» Learning Application Models for Utility Resource Planning
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NIPS
2007
13 years 10 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»
13 years 8 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
14 years 8 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»
13 years 8 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
13 years 5 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, ...