Learning Neural Network Policies with Guided Policy Search under
... at each iteration. While these priors can be constructed using domain knowledge, a more general approach is to construct the prior from samples at other time steps and iterations, by fitting a background dynamics distribution as a kind of crude global model. For physical systems such as robots, a go ...
... at each iteration. While these priors can be constructed using domain knowledge, a more general approach is to construct the prior from samples at other time steps and iterations, by fitting a background dynamics distribution as a kind of crude global model. For physical systems such as robots, a go ...
Visualizing Outliers - UIC Computer Science
... Any data point beyond the Adjacent values is plotted as an outlying point. 1 Tukey designed the box plot (he called it a schematic plot) to be drawn by hand on a small batch of numbers. The whiskers were designed not to enable outlier detection, but to locate the display on the interval that support ...
... Any data point beyond the Adjacent values is plotted as an outlying point. 1 Tukey designed the box plot (he called it a schematic plot) to be drawn by hand on a small batch of numbers. The whiskers were designed not to enable outlier detection, but to locate the display on the interval that support ...
Context-Sensitive and Expectation-Guided Temporal Abstraction of High- Frequency Data
... lowing we will concentrate only on the two approaches mostclosely related to our approach,pointing out their differences and limitations for our purpose. Haimowitz and Kohane(Haimowitz, Le, and Kohane1995) have developed the concept of trend templates (TrenDx) represent all available information dur ...
... lowing we will concentrate only on the two approaches mostclosely related to our approach,pointing out their differences and limitations for our purpose. Haimowitz and Kohane(Haimowitz, Le, and Kohane1995) have developed the concept of trend templates (TrenDx) represent all available information dur ...
Document
... The 'Predictive Model Markup Language' ('PMML') is an XML-based file format developed by the Data Mining Group to provide a way for applications to describe and exchange statistical model|models produced by data mining and machine learning algorithms. It supports common models such as logistic regre ...
... The 'Predictive Model Markup Language' ('PMML') is an XML-based file format developed by the Data Mining Group to provide a way for applications to describe and exchange statistical model|models produced by data mining and machine learning algorithms. It supports common models such as logistic regre ...
A Framework for Average Case Analysis of Conjunctive Learning
... Clearly, the second requirement presupposes information about the distribution of the training examples. Therefore, unlike the PAC model, the framework we have developed is not distribution-free. Furthermore, to simplify computations (or reduce the amount of information required by the model) we wil ...
... Clearly, the second requirement presupposes information about the distribution of the training examples. Therefore, unlike the PAC model, the framework we have developed is not distribution-free. Furthermore, to simplify computations (or reduce the amount of information required by the model) we wil ...
On Constrained Optimization Approach to Object
... does it form the basis of segmentation, i.e., the isolation of the object from the background, but also contains the ability to represent the characteristics needed for object recognition and labeling. When a framework that allows the integration of the latter capability of recognition within the pr ...
... does it form the basis of segmentation, i.e., the isolation of the object from the background, but also contains the ability to represent the characteristics needed for object recognition and labeling. When a framework that allows the integration of the latter capability of recognition within the pr ...
On Theoretical Properties of Sum
... weights are normalized if their children are normalized, and iii) consistent product nodes are normalized if their children are normalized, following from Corollary 1. We call such SPNs, whose weights are normalized for each sum, locally normalized SPNs. Clearly, any sub-SPN of a locally normalized ...
... weights are normalized if their children are normalized, and iii) consistent product nodes are normalized if their children are normalized, following from Corollary 1. We call such SPNs, whose weights are normalized for each sum, locally normalized SPNs. Clearly, any sub-SPN of a locally normalized ...
Distribution (Weibull) Fitting
... The threshold parameter is the minimum value of the random variable t. Often, this parameter is referred to as the location parameter. We use ‘threshold’ rather than ‘location’ to stress that this parameter sets the minimum time. We reserve ‘location’ to represent the center of the distribution. Thi ...
... The threshold parameter is the minimum value of the random variable t. Often, this parameter is referred to as the location parameter. We use ‘threshold’ rather than ‘location’ to stress that this parameter sets the minimum time. We reserve ‘location’ to represent the center of the distribution. Thi ...
$doc.title
... SCILAB, EULER, OCTAVE, or YORICK. The author created CMAT to have a tool that fits his own needs and those of people like him who need a language which is numerically stable and very efficient in computer time and memory usage. The following principles dominated the design of CMAT: • CMAT is an inte ...
... SCILAB, EULER, OCTAVE, or YORICK. The author created CMAT to have a tool that fits his own needs and those of people like him who need a language which is numerically stable and very efficient in computer time and memory usage. The following principles dominated the design of CMAT: • CMAT is an inte ...
Package `rattle`
... financial claims as a result of a productive audit. This variable, which should not be treated as an input variable, is thus a measure of the size of the risk associated with the person. TARGET_Adjusted The target variable for modelling (generally for classification modelling). This is a numeric fie ...
... financial claims as a result of a productive audit. This variable, which should not be treated as an input variable, is thus a measure of the size of the risk associated with the person. TARGET_Adjusted The target variable for modelling (generally for classification modelling). This is a numeric fie ...
Online System Problem Detection by Mining
... events that reports the same identifier. We further define a session to be a subset of closely-related events in the same event trace that has a predictable duration. The duration of a session is the time difference between the earliest and latest timestamps of events in the session. We define a fre ...
... events that reports the same identifier. We further define a session to be a subset of closely-related events in the same event trace that has a predictable duration. The duration of a session is the time difference between the earliest and latest timestamps of events in the session. We define a fre ...
Recognizing solid objects by alignment with an image
... frame to the image coordinate frame consists of a rigid three-dimensional motion and a projection. We use a "weak-perspective" imaging model in which true perspective projection is approximated by orthographic projection plus a scale factor. The underlying idea is that under most viewing conditions, ...
... frame to the image coordinate frame consists of a rigid three-dimensional motion and a projection. We use a "weak-perspective" imaging model in which true perspective projection is approximated by orthographic projection plus a scale factor. The underlying idea is that under most viewing conditions, ...
