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» Query Selectivity Estimation via Data Mining
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SBBD
2003
101views Database» more  SBBD 2003»
15 years 1 months ago
Cherry Picking: A Semantic Query Processing Strategy for the Evaluation of Expensive Predicates
A common requirement of many scientific applications is the ability to process queries involving expensive predicates corresponding to user programs. Optimizing such queries is ha...
Fabio Porto, Eduardo Sany Laber, Patrick Valduriez
WWW
2010
ACM
15 years 6 months ago
Diversifying web search results
Result diversity is a topic of great importance as more facets of queries are discovered and users expect to find their desired facets in the first page of the results. However,...
Davood Rafiei, Krishna Bharat, Anand Shukla
NIPS
2007
15 years 1 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 9 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 9 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone