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IJCNN
2007
IEEE
15 years 7 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
NIPS
2007
15 years 2 months ago
Learning the structure of manifolds using random projections
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul ...
VIS
2009
IEEE
212views Visualization» more  VIS 2009»
16 years 2 months ago
Applying Manifold Learning to Plotting Approximate Contour Trees
Shigeo Takahashi, Issei Fujishiro, Masato Okada
FLAIRS
2007
15 years 3 months ago
A Machine Learning Approach to Personal Pronoun Resolution in Turkish
In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classific...
Savas Yildirim, Yilmaz Kiliçaslan
ECML
2006
Springer
15 years 5 months ago
Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
Alessandro Moschitti