716 search results - page 61 / 144 » Optimizing Sorting with Machine Learning Algorithms |
112
Voted
ECML
2006
Springer
15 years 5 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
ECML
2005
Springer
15 years 7 months ago
2005
Springer
This paper argues that severe class imbalance is not just an interesting technical challenge that improved learning algorithms will address, it is much more serious. To be useful, ...
114
Voted
ICDM
2009
IEEE
15 years 8 months ago
2009
IEEE
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
113
Voted
FLAIRS
2004
15 years 3 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
136
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ICDT
2001
ACM
15 years 6 months ago
2001
ACM
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...