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» Learning to Rank Using an Ensemble of Lambda-Gradient Models
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ICML
2005
IEEE
15 years 10 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
CHI
2007
ACM
15 years 10 months ago
Tangible user interface for chemistry education: comparative evaluation and re-design
Augmented Chemistry (AC) is an application that utilizes a tangible user interface (TUI) for organic chemistry education. The empirical evaluation described in this paper compares...
Morten Fjeld, Jonas Fredriksson, Martin Ejdestig, ...
COLING
2010
14 years 4 months ago
An Empirical Study on Web Mining of Parallel Data
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim
BMCBI
2010
160views more  BMCBI 2010»
14 years 9 months ago
Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data
Background: Use of alternative gene promoters that drive widespread cell-type, tissue-type or developmental gene regulation in mammalian genomes is a common phenomenon. Chromatin ...
Ravi Gupta, Priyankara Wikramasinghe, Anirban Bhat...
JMLR
2010
117views more  JMLR 2010»
14 years 4 months ago
Exploiting the High Predictive Power of Multi-class Subgroups
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Tarek Abudawood, Peter A. Flach