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JMLR
2008
159views more  JMLR 2008»
13 years 6 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
IMC
2009
ACM
14 years 25 days ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
ICC
2009
IEEE
151views Communications» more  ICC 2009»
13 years 4 months ago
Mapping Techniques for UWB Positioning
This paper deals with a wireless indoor positioning problem in which the location of a tag is estimated from range measurements taken by fixed beacons. The measurements may be affe...
E. Arias-de-Reyna, Umberto Mengali
ICASSP
2009
IEEE
14 years 1 months ago
Efficacy of a constantly adaptive language modeling technique for web-scale applications
In this paper, we describe CALM, a method for building statistical language models for the Web. CALM addresses several unique challenges dealing with the Web contents. First, CALM...
Kuansan Wang, Xiaolong Li
EOR
2007
165views more  EOR 2007»
13 years 6 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang