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KDD
1998
ACM
120views Data Mining» more  KDD 1998»
14 years 7 days ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
CORR
2004
Springer
121views Education» more  CORR 2004»
13 years 7 months ago
An agent-based intelligent environmental monitoring system
Fairly rapid environmental changes call for continuous surveillance and on-line decision making. There are two main areas where IT technologies can be valuable. In this paper we pr...
Ioannis N. Athanasiadis, Pericles A. Mitkas
CEC
2009
IEEE
13 years 11 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 6 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
GLOBECOM
2009
IEEE
14 years 2 months ago
Rate Adaptation with NAK-Aided Loss Differentiation in 802.11 Wireless Networks
—The Physical Layer of the IEEE 802.11 standard family provides a set of different modulation and coding schemes and, thus, a multitude of data rates. However, the Standard itsel...
Anne N. Ngugi, Yuanzhu Peter Chen, Qing Li