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» A Generalization of Jumps and Labels
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NIPS
2007
13 years 11 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
ACL
2009
13 years 8 months ago
A Comparative Study on Generalization of Semantic Roles in FrameNet
A number of studies have presented machine-learning approaches to semantic role labeling with availability of corpora such as FrameNet and PropBank. These corpora define the seman...
Yuichiro Matsubayashi, Naoaki Okazaki, Jun-ichi Ts...
3DIM
2007
IEEE
14 years 4 months ago
Generalized MPU Implicits Using Belief Propagation
In this paper, we present a new algorithm to reconstruct 3D surfaces from an unorganized point cloud based on generalizing the MPU implicit algorithm through introducing a powerfu...
Yi-Ling Chen, Shang-Hong Lai, Tung-Ying Lee
COLT
2001
Springer
14 years 2 months ago
Geometric Bounds for Generalization in Boosting
We consider geometric conditions on a labeled data set which guarantee that boosting algorithms work well when linear classifiers are used as weak learners. We start by providing ...
Shie Mannor, Ron Meir
ICLP
2010
Springer
14 years 2 months ago
Using Generalized Annotated Programs to Solve Social Network Optimization Problems
Abstract. Reasoning about social networks (labeled, directed, weighted graphs) is becoming increasingly important and there are now models of how certain phenomena (e.g. adoption o...
Paulo Shakarian, V. S. Subrahmanian, Maria Luisa S...