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AAAI
2011
14 years 6 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
KDD
2008
ACM
246views Data Mining» more  KDD 2008»
16 years 6 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
ACG
2009
Springer
16 years 18 days ago
Monte-Carlo Tree Search in Settlers of Catan
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Istvan Szita, Guillaume Chaslot, Pieter Spronck
ML
2000
ACM
185views Machine Learning» more  ML 2000»
15 years 5 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
ESOP
2000
Springer
15 years 9 months ago
Compile-Time Debugging of C Programs Working on Trees
We exhibit a technique for automatically verifying the safety of simple C programs working on tree-shaped data structures. We do not consider the complete behavior of programs, but...
Jacob Elgaard, Anders Møller, Michael I. Sc...