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ICML
2006
IEEE
16 years 2 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
SIGMOD
2008
ACM
134views Database» more  SIGMOD 2008»
16 years 1 months ago
SystemT: a system for declarative information extraction
As applications within and outside the enterprise encounter increasing volumes of unstructured data, there has been renewed interest in the area of information extraction (IE) ? t...
Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghava...
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
16 years 1 months ago
Relational joins on graphics processors
We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for wr...
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. ...
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 8 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
HT
2009
ACM
15 years 8 months ago
Improving recommender systems with adaptive conversational strategies
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Tariq Mahmood, Francesco Ricci