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» Machine learning in sedimentation modelling
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ECML
2007
Springer
16 years 22 days ago
Additive Groves of Regression Trees
We present a new regression algorithm called Additive Groves and show empirically that it is superior in performance to a number of other established regression methods. A single G...
Daria Sorokina, Rich Caruana, Mirek Riedewald
COLT
2004
Springer
15 years 10 months ago
Regret Bounds for Hierarchical Classification with Linear-Threshold Functions
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
ECML
2006
Springer
15 years 10 months ago
A Discriminative Approach for the Retrieval of Images from Text Queries
This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are sel...
David Grangier, Florent Monay, Samy Bengio
EDUTAINMENT
2006
Springer
15 years 10 months ago
Generating 3D Paper-Cutting Effects
In this paper we describe a framework for generating 3D paper-cutting effects on mesh models. The framework involves the construction of model defined paper-cutting patterns, extr...
Yan Li, Jinhui Yu, Honxin Zhang, Jiaoying Shi
ICALT
2010
IEEE
15 years 6 months ago
Towards a Competence Based System for Recommending Study Materials (CBSR)
— Most e-learning systems require intervention from a teacher. The development of adaptive hypermedia systems, such as intelligent tutoring systems, aimed to reduce the teachersâ...
Athitaya Nitchot, Lester Gilbert, Gary B. Wills