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» Distinguishing between cause and effect
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SDM
2004
SIAM
142views Data Mining» more  SDM 2004»
13 years 9 months ago
Learning to Read Between the Lines: The Aspect Bernoulli Model
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
Ata Kabán, Ella Bingham, T. Hirsimäki
GPEM
2002
145views more  GPEM 2002»
13 years 8 months ago
An Analysis of the Causes of Code Growth in Genetic Programming
Abstract. This research examines the cause of code growth (bloat) in genetic programming (GP). Currently there are three hypothesized causes of code growth in GP: protection, drift...
Terence Soule, Robert B. Heckendorn
NAA
2000
Springer
93views Mathematics» more  NAA 2000»
14 years 2 hour ago
Estimation of the Wheat Losses Caused by the Tropospheric Ozone in Bulgaria and Denmark
Long-term exposures to high ozone concentrations have harmful effect on the crops and reduce the yield. The exposures are measured in terms of AOT40 (Accumulated exposure Over Thre...
Tzvetan Ostromsky, Ivan Dimov, Ilia Tzvetanov, Zah...
ICIP
2008
IEEE
14 years 10 months ago
Local-spectrum-based distinction between handwritten and machine-printed characters
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local ...
Jumpei Koyama, Akira Hirose, Masahiro Kato
BMCBI
2010
113views more  BMCBI 2010»
13 years 8 months ago
A classification model for distinguishing copy number variants from cancer-related alterations
Background: Both somatic copy number alterations (CNAs) and germline copy number variants (CNVs) that are prevalent in healthy individuals can appear as recurrent changes in compa...
Irina Ostrovnaya, Gouri Nanjangud, Adam B. Olshen