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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 6 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 4 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
POPL
2003
ACM
16 years 4 months ago
From symptom to cause: localizing errors in counterexample traces
There is significant room for improving users' experiences with model checking tools. An error trace produced by a model checker can be lengthy and is indicative of a symptom...
Thomas Ball, Mayur Naik, Sriram K. Rajamani
IUI
2010
ACM
16 years 1 months ago
Usage patterns and latent semantic analyses for task goal inference of multimodal user interactions
This paper describes our work in usage pattern analysis and development of a latent semantic analysis framework for interpreting multimodal user input consisting speech and pen ge...
Pui-Yu Hui, Wai Kit Lo, Helen M. Meng
IUI
2010
ACM
16 years 1 months ago
A POMDP approach to P300-based brain-computer interfaces
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
Jaeyoung Park, Kee-Eung Kim, Sungho Jo