Relational Topographic Maps - Institut für Informatik, TU Clausthal
... to model additional information by means of an extension of the cost function. However, for median versions, prototype locations are restricted to the set of given training data which constitutes a severe restriction in particular for small data sets. Therefore, extensions which allow a smooth adapt ...
... to model additional information by means of an extension of the cost function. However, for median versions, prototype locations are restricted to the set of given training data which constitutes a severe restriction in particular for small data sets. Therefore, extensions which allow a smooth adapt ...
Goal Recognition with Markov Logic Networks for Player
... identifying their plans or sub-plans, goal recognition models have been automatically acquired using statistical corpus-based approaches without the need for handauthored plan libraries (Blaylock and Allen 2003). The classic goal recognition problem assumes that a single agent is pursuing a single g ...
... identifying their plans or sub-plans, goal recognition models have been automatically acquired using statistical corpus-based approaches without the need for handauthored plan libraries (Blaylock and Allen 2003). The classic goal recognition problem assumes that a single agent is pursuing a single g ...
Biol2050 2014 stats primer – final
... reject the null hypothesis, thus the fish from lake 1 and lake 2 DO NOT weigh the same. How to report: two-sample t(df) = t-value, p = p-value (two-sample t(12) = -3.065, p = 0.01) ...
... reject the null hypothesis, thus the fish from lake 1 and lake 2 DO NOT weigh the same. How to report: two-sample t(df) = t-value, p = p-value (two-sample t(12) = -3.065, p = 0.01) ...
Research on Statistical Relational Learning at the
... the user is looking for often takes too long, and the user gives up and/or wastes time. A possible way to ameliorate this is to automatically adapt the Web site to the user, by predicting what s/he is looking for [Perkowitz and Etzioni, 1997]. For example, we can add to the current page shortcuts to ...
... the user is looking for often takes too long, and the user gives up and/or wastes time. A possible way to ameliorate this is to automatically adapt the Web site to the user, by predicting what s/he is looking for [Perkowitz and Etzioni, 1997]. For example, we can add to the current page shortcuts to ...
File
... to work with an arbitrary number of inputs, so the efficiency or complexity of an algorithm is stated in terms of time complexity and space complexity. The time Complexity of an algorithm is basically the running time of the program as a function of the input size. On similar grounds, space complexi ...
... to work with an arbitrary number of inputs, so the efficiency or complexity of an algorithm is stated in terms of time complexity and space complexity. The time Complexity of an algorithm is basically the running time of the program as a function of the input size. On similar grounds, space complexi ...
EECS833 Facies classification problem
... Remember that you are attempting to train neural networks that are capable of predicting facies for wells that are not part of the training set. Your goal is to determine the optimal training parameters for neural networks that are sufficiently general to estimate facies on the withheld data that yo ...
... Remember that you are attempting to train neural networks that are capable of predicting facies for wells that are not part of the training set. Your goal is to determine the optimal training parameters for neural networks that are sufficiently general to estimate facies on the withheld data that yo ...
A review of some useful facts about random variables
... and at other times is not needed, we often use some parameters of the distribution. Spe i ally, we will often be interested in ...
... and at other times is not needed, we often use some parameters of the distribution. Spe i ally, we will often be interested in ...
A Multistrategy Approach to Classifier Learning from Time
... problems (Gershenfeld & Weigend, 1994; Mozer, 1994), the authors have found it to be reliable for a variety of problems studied. The design rationale that follows from this assumption defines metrics for evaluating problem definitions. Each metric estimates an intrinsic statistical property: namely, ...
... problems (Gershenfeld & Weigend, 1994; Mozer, 1994), the authors have found it to be reliable for a variety of problems studied. The design rationale that follows from this assumption defines metrics for evaluating problem definitions. Each metric estimates an intrinsic statistical property: namely, ...
An Artificial Intelligence Approach Towards Sensorial
... dataset of key figures much fewer in count but of high informative value in terms of reliable load case estimation and overload detection. The simplest solution here would be to let a human expert choose selected sensor positions based on the geometric characteristics of the structure and manually r ...
... dataset of key figures much fewer in count but of high informative value in terms of reliable load case estimation and overload detection. The simplest solution here would be to let a human expert choose selected sensor positions based on the geometric characteristics of the structure and manually r ...
a literature survey on sp theory of intelligence
... contains objects belonging to the same category. This then becomes a leaf node. At each node, the property to test is chosen based on information theoretic criteria that seek to maximize information gain and minimize entropy. In simpler terms, that property is tested which divides the candidate set ...
... contains objects belonging to the same category. This then becomes a leaf node. At each node, the property to test is chosen based on information theoretic criteria that seek to maximize information gain and minimize entropy. In simpler terms, that property is tested which divides the candidate set ...
Knowledge based Bridge Engineering
... modelling, evaluation, and optimization of bridge structures. While setting up a knowledge base and an inference engine, formalizing engineering knowledge in computer interpretable rules is the most important and difficult step. In recent years, Artificial Intelligence (AI) techniques have been inte ...
... modelling, evaluation, and optimization of bridge structures. While setting up a knowledge base and an inference engine, formalizing engineering knowledge in computer interpretable rules is the most important and difficult step. In recent years, Artificial Intelligence (AI) techniques have been inte ...
A guide for newsrooms in the age of smart machines
... data and spoken words into text; text into audio and video; understand sentiment; analyze scenes for objects, faces, text or colors — and more. Broadly speaking, AI promises to reap many big rewards for journalism in the years to come. Greater speed, accuracy, scale and diversity of coverage are jus ...
... data and spoken words into text; text into audio and video; understand sentiment; analyze scenes for objects, faces, text or colors — and more. Broadly speaking, AI promises to reap many big rewards for journalism in the years to come. Greater speed, accuracy, scale and diversity of coverage are jus ...
Computing Information Gain in Data Streams
... domain(s) of the data values is discrete, either nominal or consisting of a few numerical values. In discrete domains, the data can be represented by simply counting the number of instances of each value. Often this simple representation is sufficient and the memory usage much less than the actual s ...
... domain(s) of the data values is discrete, either nominal or consisting of a few numerical values. In discrete domains, the data can be represented by simply counting the number of instances of each value. Often this simple representation is sufficient and the memory usage much less than the actual s ...
Iterative Solution of Linear Systems
... – Each iteration improves accuracy – Stop once estimated error below tolerance ...
... – Each iteration improves accuracy – Stop once estimated error below tolerance ...
poisson distribution
... is a discrete probability distribution in which the number of success are given in whole numbers such as 0, 1, 2…, etc. Value of p and q: the poisson distribution is used in those situation where the probability of occurrence of an event is very large (i.e., q-1) and the value of n is also infinit ...
... is a discrete probability distribution in which the number of success are given in whole numbers such as 0, 1, 2…, etc. Value of p and q: the poisson distribution is used in those situation where the probability of occurrence of an event is very large (i.e., q-1) and the value of n is also infinit ...