Online Context-Aware Recommendation with Time Varying Multi
... However, identifying the appropriate match between the consumer preferences and the target items is quite difficult for recommender systems due to several existing challenges in practice [18]. One is the well-known cold-start problem since a significant number of users/items might be completely new ...
... However, identifying the appropriate match between the consumer preferences and the target items is quite difficult for recommender systems due to several existing challenges in practice [18]. One is the well-known cold-start problem since a significant number of users/items might be completely new ...
COmbining Probable TRAjectories — COPTRA
... Technique extensively applied in several fields: aerodynamic design, vehicle dynamics, micro-electromechanical systems, petroleum engineering, nuclear waste disposal, etc. The system response (u) can be represented as function of the variability (ξ) of the inputs (x) with the time (t). WP02 wi ...
... Technique extensively applied in several fields: aerodynamic design, vehicle dynamics, micro-electromechanical systems, petroleum engineering, nuclear waste disposal, etc. The system response (u) can be represented as function of the variability (ξ) of the inputs (x) with the time (t). WP02 wi ...
Increased Serum Levels of C21 Steroids in Female Patients With
... Respecting the skewed distribution and non-constant variance in most dependent variables, these were transformed by power transformations to data symmetry and homoscedasticity prior further processing (Meloun et al. 2000). The homogeneity and distribution of the transformed data was checked by resid ...
... Respecting the skewed distribution and non-constant variance in most dependent variables, these were transformed by power transformations to data symmetry and homoscedasticity prior further processing (Meloun et al. 2000). The homogeneity and distribution of the transformed data was checked by resid ...
section 2.2 of ref 1
... with the ICOS AS specifications − section 2.3 and 2.4 of ref 1 (ICOS AS spec, 8 pages) Set up calibration according to ICOS specifications − section 4.1.1 and 4.2 of ref 1 (ICOS AS spec , 3 pages) Sending data to ATC (cf Figure 1 and also ref 2 (PDTA: “ProvidingDataToATC1.6.7.pdf”)) Open account ...
... with the ICOS AS specifications − section 2.3 and 2.4 of ref 1 (ICOS AS spec, 8 pages) Set up calibration according to ICOS specifications − section 4.1.1 and 4.2 of ref 1 (ICOS AS spec , 3 pages) Sending data to ATC (cf Figure 1 and also ref 2 (PDTA: “ProvidingDataToATC1.6.7.pdf”)) Open account ...
Automatic Differentiation Variational Inference
... advi resolves the computational bottleneck of the probabilistic modeling cycle. We can easily propose a probabilistic model, analyze a large dataset, and revise the model, without worrying about computation. advi enables this cycle by providing automated and scalable variational inference for an exp ...
... advi resolves the computational bottleneck of the probabilistic modeling cycle. We can easily propose a probabilistic model, analyze a large dataset, and revise the model, without worrying about computation. advi enables this cycle by providing automated and scalable variational inference for an exp ...
Spatial Data Analysis
... Perspectives on spatial process models • Finding out how the variable Y relates to its value in surrounding locations (the spatial lag) while controlling for the influence of other explanatory variables. • When the interest is in the relation between the explanatory variables X and the dependent va ...
... Perspectives on spatial process models • Finding out how the variable Y relates to its value in surrounding locations (the spatial lag) while controlling for the influence of other explanatory variables. • When the interest is in the relation between the explanatory variables X and the dependent va ...
SCAPE: Shape Completion and Animation of People
... small number of points on the surface. The desire is to map such sparse data into a fully animated 3D surface model. This paper introduces the SCAPE method (Shape Completion and Animation for PEople) — a data-driven method for building a unified model of human shape. Our method learns separate model ...
... small number of points on the surface. The desire is to map such sparse data into a fully animated 3D surface model. This paper introduces the SCAPE method (Shape Completion and Animation for PEople) — a data-driven method for building a unified model of human shape. Our method learns separate model ...
Semantic Matching in App Search
... Text corpora of app documents is not large enough to support large topic number. Significant difference may still exist between apps in the same topic. Long tail queries lack statistical click data to expand, even after topic matching, many tail queries are still unknown. ...
... Text corpora of app documents is not large enough to support large topic number. Significant difference may still exist between apps in the same topic. Long tail queries lack statistical click data to expand, even after topic matching, many tail queries are still unknown. ...
Linear Models for classification
... • We can adapt gaussian processes to classification problems by transforming the output using an appropriate nonlinear activation function – Define Gaussian process over a function a(x), and transform using Logistic sigmoid function ,we obtain a non-Gaussian stochastic process over functions ...
... • We can adapt gaussian processes to classification problems by transforming the output using an appropriate nonlinear activation function – Define Gaussian process over a function a(x), and transform using Logistic sigmoid function ,we obtain a non-Gaussian stochastic process over functions ...
NBER WORKING IN ASSET PRICES MEAN
... 6. This is the Standard and Poors historical data used by Poterba. Observations on returns and the CPI from 1871 to Wilson and Jones (1987), and from Ibbotson and Sinquefield to 1985. Observations on nominal dividends are those used ...
... 6. This is the Standard and Poors historical data used by Poterba. Observations on returns and the CPI from 1871 to Wilson and Jones (1987), and from Ibbotson and Sinquefield to 1985. Observations on nominal dividends are those used ...