Sciweavers

216 search results - page 28 / 44
» Decision Tree with Better Ranking
Sort
View
WWW
2005
ACM
14 years 10 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han
ICCAD
2003
IEEE
111views Hardware» more  ICCAD 2003»
14 years 6 months ago
A Trade-off Oriented Placement Tool
High quality placement results are always produced at the cost of significant runtimes. In this paper, we study the trade-off between the overall quality and the runtime for stand...
Huaiyu Xu, Maogang Wang, Bo-Kyung Choi, Majid Sarr...
WFLP
2000
Springer
148views Algorithms» more  WFLP 2000»
14 years 1 months ago
The Use of Functional and Logic Languages in Machine Learning
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
Peter A. Flach
ACL
2006
13 years 11 months ago
A Pipeline Framework for Dependency Parsing
Pipeline computation, in which a task is decomposed into several stages that are solved sequentially, is a common computational strategy in natural language processing. The key pr...
Ming-Wei Chang, Quang Do, Dan Roth
AAAI
1996
13 years 11 months ago
Bagging, Boosting, and C4.5
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
J. Ross Quinlan