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IJON
2011
133views more  IJON 2011»
14 years 4 months ago
Relational generative topographic mapping
Abstract. The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of a sparse lattice of points in latent spac...
Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
INCDM
2009
Springer
199views Data Mining» more  INCDM 2009»
15 years 4 months ago
Driver-Moderator Method for SKU Sales Forecasting
We develop a method to forecast stock keeping unit sales that is accurate, transparent and consistent in handling similar situations. We leverage the marketing literature to define...
Özden Gür Ali
CGF
2008
129views more  CGF 2008»
14 years 10 months ago
Caustic Forecasting: Unbiased Estimation of Caustic Lighting for Global Illumination
We present an unbiased method for generating caustic lighting using importance sampled Path Tracing with Caustic Forecasting. Our technique is part of a straightforward rendering ...
B. C. Budge, John C. Anderson, Kenneth I. Joy
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 4 months ago
News Aware Volatility Forecasting: Is the Content of News Important?
The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models...
Calum Robertson, Shlomo Geva, Rodney Wolff
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
15 years 4 months ago
Can the Content of Public News Be Used to Forecast Abnormal Stock Market Behaviour?
A popular theory of markets is that they are efficient: all available information is deemed to provide an accurate valuation of an asset at any time. In this paper, we consider ho...
Calum Robertson, Shlomo Geva, Rodney C. Wolff