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IJCNN
2007
IEEE
15 years 8 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 3 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 ...
124
Voted
VIS
2009
IEEE
212views Visualization» more  VIS 2009»
16 years 3 months ago
Applying Manifold Learning to Plotting Approximate Contour Trees
Shigeo Takahashi, Issei Fujishiro, Masato Okada
103
Voted
FLAIRS
2007
15 years 4 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 6 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