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» Gaussian Process Change Point Models
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CIKM
2008
Springer
14 years 11 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
JMLR
2008
159views more  JMLR 2008»
14 years 9 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 7 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
85
Voted
ICML
2008
IEEE
15 years 10 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
68
Voted
AGILEDC
2007
IEEE
15 years 4 months ago
The Role of Incremental Change in Agile Software Processes
This paper presents a model of incremental change that consists of concept location, impact analysis, actualization, change propagation, supporting refactorings, and testing. Repe...
Neal Febbraro, Václav Rajlich