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EUROPAR
2003
Springer
15 years 11 months ago
Compiler-Assisted Thread Level Control Speculation
Abstract. This paper proposes two compiler-assisted techniques to improve thread level control speculation in speculative multithreading executions. The first technique is to incr...
Hideyuki Miura, Luong Dinh Hung, Chitaka Iwama, Da...
ICANN
2009
Springer
15 years 11 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
AUSAI
2001
Springer
15 years 11 months ago
Wrapping Boosters against Noise
Abstract. Wrappers have recently been used to obtain parameter optimizations for learning algorithms. In this paper we investigate the use of a wrapper for estimating the correct n...
Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidb...
PAKDD
2001
ACM
104views Data Mining» more  PAKDD 2001»
15 years 10 months ago
Optimizing the Induction of Alternating Decision Trees
The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distribute...
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirk...
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 10 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides