Statistical challenges with high dimensionality: feature selection in
... and finance among others. Frontiers of science, engineering and the humanities differ in the problems of their concerns, but nevertheless share one common theme: massive and high-throughput data have been collected and new knowledge needs to be discovered using these data. These massive collections ...
... and finance among others. Frontiers of science, engineering and the humanities differ in the problems of their concerns, but nevertheless share one common theme: massive and high-throughput data have been collected and new knowledge needs to be discovered using these data. These massive collections ...
A New Ensemble Model based Support Vector Machine for
... Since Fisher created linear regression to solve classification problem[2], many statistical methods were proposed to deal with two-class problem, such as logistic regression model (LR) [3],discriminant analysis[4][5]. However, statistical approaches required certain data distributions, which don’t c ...
... Since Fisher created linear regression to solve classification problem[2], many statistical methods were proposed to deal with two-class problem, such as logistic regression model (LR) [3],discriminant analysis[4][5]. However, statistical approaches required certain data distributions, which don’t c ...
Approximate Solutions of Interactive Dynamic Influence Diagrams
... further contributes to the dimensionality of the state space. This is complicated by the nested nature of the space. Previous approaches for approximating I-DIDs focus on reducing the dimensionality of the state space by limiting the number of candidate models of other agents. Using the insight that ...
... further contributes to the dimensionality of the state space. This is complicated by the nested nature of the space. Previous approaches for approximating I-DIDs focus on reducing the dimensionality of the state space by limiting the number of candidate models of other agents. Using the insight that ...
Navigate Like a Cabbie: Probabilistic Reasoning from Observed
... whether the next road is congested), but context associated with all future actions as well (e.g., whether the roads that a road leads to are congested). This approach corresponds to a directed graphical model (Figure 2) [22, 14] where the probability of each action is dependent on all contextual in ...
... whether the next road is congested), but context associated with all future actions as well (e.g., whether the roads that a road leads to are congested). This approach corresponds to a directed graphical model (Figure 2) [22, 14] where the probability of each action is dependent on all contextual in ...
Probabilistic population codes and the exponential family of
... suppose that each time our hypothetical cat observes a mouse, a unique pattern of activity reliably occurs in some region of cortex. If this were the case, then observation of that pattern of activity would indicate with certainty that the mouse is in the cat’s visual field. Thus, only when the patte ...
... suppose that each time our hypothetical cat observes a mouse, a unique pattern of activity reliably occurs in some region of cortex. If this were the case, then observation of that pattern of activity would indicate with certainty that the mouse is in the cat’s visual field. Thus, only when the patte ...
Bayesian Sets
... Dc corresponds to computing the vector q and scalar c. This can also be done efficiently if the query is also sparse, since most elements of q will equal log βj − log(βj + N ) which is independent of the query. ...
... Dc corresponds to computing the vector q and scalar c. This can also be done efficiently if the query is also sparse, since most elements of q will equal log βj − log(βj + N ) which is independent of the query. ...
Predictive Modeling in Automotive Direct Marketing: Tools
... Apart from the specification of the process, the Quick Reference Guide contains pointers to examples from case studies, documented experiences, and to the library of executable procedures described in the next section. So far, the experience with the Quick Reference Guide was mostly positive. We exp ...
... Apart from the specification of the process, the Quick Reference Guide contains pointers to examples from case studies, documented experiences, and to the library of executable procedures described in the next section. So far, the experience with the Quick Reference Guide was mostly positive. We exp ...
143-2008: Evaluating Predictive Models: Computing and Interpreting
... Automation of predictive model selection has become the alchemy of today’s Business Intelligence (BI), with BI practitioners hoping to transform jargon and acronyms into gold. While statistical modeling experts disparage ‘black-box’ methods, business analysts tend to ignore theory and traditional mo ...
... Automation of predictive model selection has become the alchemy of today’s Business Intelligence (BI), with BI practitioners hoping to transform jargon and acronyms into gold. While statistical modeling experts disparage ‘black-box’ methods, business analysts tend to ignore theory and traditional mo ...
6. Data-Based Models
... number of nodes in the input as well as in the output layer is usually predetermined from the problem to be solved. The number of nodes in each hidden layer and the number of hidden layers are calibration parameters that can be varied in experiments focused on getting the best fit of observed and pr ...
... number of nodes in the input as well as in the output layer is usually predetermined from the problem to be solved. The number of nodes in each hidden layer and the number of hidden layers are calibration parameters that can be varied in experiments focused on getting the best fit of observed and pr ...
Dreyer and Eisner - JHU CS
... The key intuition is that the current analyses of the other verb tokens imply a posterior distribution over the VERB lexicon, shown in the top half of the figure. First, because of the current analyses of ¶ and ¸, the 3rd-person spellings of b&r ak are already constrained to match w1 and w3 (the ...
... The key intuition is that the current analyses of the other verb tokens imply a posterior distribution over the VERB lexicon, shown in the top half of the figure. First, because of the current analyses of ¶ and ¸, the 3rd-person spellings of b&r ak are already constrained to match w1 and w3 (the ...
Different Perspectives at Clustering: The Number-of
... Conclusion I: Number of clusters? Engineering perspective: defined by cost/effect Classical statistics perspective: can and should be determined from data with a model Machine learning perspective: can be specified according to the prediction accuracy to achieve Data mining perspective: not to pre- ...
... Conclusion I: Number of clusters? Engineering perspective: defined by cost/effect Classical statistics perspective: can and should be determined from data with a model Machine learning perspective: can be specified according to the prediction accuracy to achieve Data mining perspective: not to pre- ...
