Gaussian processes for active data mining of spatial aggregates

@misc{citeulike:2205450, abstract = {Active data mining is becoming prevalent in applications requiring focused sampling of data relevant to a high-level mining objective. It is especially pertinent in scientific and engineering applications where we seek to characterize a configuration space or design space in terms of spatial aggregates, and where data collection can become costly. Examples abound in domains such as aircraft design, wireless system simulation, fluid dynamics, and sensor networks. This paper develops an active...}, author = {Ramakrishnan, N. and Kellogg, Bailey C. and Tadepalli, S. and Pandey, V. }, citeulike-article-id = {2205450}, posted-at = {2008-01-07 23:58:39}, priority = {2}, title = {Gaussian processes for active data mining of spatial aggregates}, url = {http://citeseer.ist.psu.edu/721900.html}, year = {2005} }

TY - GEN ID - citeulike:2205450 L3 - citeulike-article-id:2205450 TI - Gaussian processes for active data mining of spatial aggregates N2 - Active data mining is becoming prevalent in applications requiring focused sampling of data relevant to a high-level mining objective. It is especially pertinent in scientific and engineering applications where we seek to characterize a configuration space or design space in terms of spatial aggregates, and where data collection can become costly. Examples abound in domains such as aircraft design, wireless system simulation, fluid dynamics, and sensor networks. This paper develops an active... AU - Ramakrishnan, N AU - Kellogg, Bailey AU - Tadepalli, S AU - Pandey, V PY - 2005/// UR - http://citeseer.ist.psu.edu/721900.html ER -