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ICTAI
2006
IEEE
15 years 10 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ICML
2007
IEEE
16 years 4 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
SAS
2010
Springer
141views Formal Methods» more  SAS 2010»
15 years 2 months ago
Statically Inferring Complex Heap, Array, and Numeric Invariants
We describe Deskcheck, a parametric static analyzer that is able to establish properties of programs that manipulate dynamically allocated memory, arrays, and integers. Deskcheck c...
Bill McCloskey, Thomas W. Reps, Mooly Sagiv
ACL
2009
15 years 1 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
180
Voted
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 6 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...