linear manifold correlation clustering
... real data is a consequence of a process governed by a small number of factors. In the data space this is manifested by the data points lying or being located close to surfaces such as linear or non-linear manifolds whose intrinsic dimensionality is much smaller than the dimensionality of the data. L ...
... real data is a consequence of a process governed by a small number of factors. In the data space this is manifested by the data points lying or being located close to surfaces such as linear or non-linear manifolds whose intrinsic dimensionality is much smaller than the dimensionality of the data. L ...
ANNA LEONTJEVA Using Generative Models to Combine Static and
... The first case study comes from the domain of Business Process Mining (BPM) and aims to solve a predictive business process monitoring (PBPM) problem, where the goal is to predict the outcome of an ongoing business case as early as possible (for example, predicting whether the case will deviate fro ...
... The first case study comes from the domain of Business Process Mining (BPM) and aims to solve a predictive business process monitoring (PBPM) problem, where the goal is to predict the outcome of an ongoing business case as early as possible (for example, predicting whether the case will deviate fro ...
Comparative Study of Gaussian and Nearest Mean Classifiers for
... approach to circumvent this problem of spam. For filtering spam e-mails from good ones, clustering technique is imposed as classification method on a finite set of objects. Clustering is the technique used for data reduction. It divides the data into groups based on pattern similarities such that ea ...
... approach to circumvent this problem of spam. For filtering spam e-mails from good ones, clustering technique is imposed as classification method on a finite set of objects. Clustering is the technique used for data reduction. It divides the data into groups based on pattern similarities such that ea ...
To Explain or to Predict?
... to be a divide between those who value prediction as the main purpose of statistical modeling and those who see it as unacademic. Examples of statisticians who emphasize predictive methodology include Akaike (“The predictive point of view is a prototypical point of view to explain the basic activity ...
... to be a divide between those who value prediction as the main purpose of statistical modeling and those who see it as unacademic. Examples of statisticians who emphasize predictive methodology include Akaike (“The predictive point of view is a prototypical point of view to explain the basic activity ...
The Nonparametric Kernel Bayes Smoother
... norm, which is useful for various machine learning algorithms [12, 11, 9, 20, 30]; and (ii) estimation is relatively easy compared to nonparametric density estimation, which can be problematic when the domain is high-dimensional or structured. In particular, the kernel mean map [24], defined as an e ...
... norm, which is useful for various machine learning algorithms [12, 11, 9, 20, 30]; and (ii) estimation is relatively easy compared to nonparametric density estimation, which can be problematic when the domain is high-dimensional or structured. In particular, the kernel mean map [24], defined as an e ...
Optimal Allocation Strategies for the Dark Pool Problem
... distributed in an iid fashion. They propose an algorithm based on Kaplan-Meier estimators. Their algorithm mimics an optimal allocation strategy by estimating the tail probabilities of sti being larger than a given value. They show that the allocations of their algorithm are -suboptimal with probab ...
... distributed in an iid fashion. They propose an algorithm based on Kaplan-Meier estimators. Their algorithm mimics an optimal allocation strategy by estimating the tail probabilities of sti being larger than a given value. They show that the allocations of their algorithm are -suboptimal with probab ...
COMPARITIVE ANALYSIS OF FUZZY DECISION TREE AND
... Abstract: - Data mining is the process of extraction of hidden predictive information from large databases and expressing them in a simple and meaningful manner. This paper explains the use of Fuzzy logic as a data mining process to generate decision trees from a pavement (road) database obtained fr ...
... Abstract: - Data mining is the process of extraction of hidden predictive information from large databases and expressing them in a simple and meaningful manner. This paper explains the use of Fuzzy logic as a data mining process to generate decision trees from a pavement (road) database obtained fr ...
A General Geographical Probabilistic Factor Model for
... has two implications: first, a user’s mobility always happens across a limited number regions but these regions could be different among different users; second, user check-in activities happen in a given region and the activity patterns could be different given different regions. Based on this obse ...
... has two implications: first, a user’s mobility always happens across a limited number regions but these regions could be different among different users; second, user check-in activities happen in a given region and the activity patterns could be different given different regions. Based on this obse ...
1 A Survey on Concept Drift Adaptation
... changes are visible from the data distribution without knowing the true labels, i.e. p(X) changes. From a predictive perspective only the changes that affect the prediction decision require adaptation. We can distinguish two types of drifts: (1) Real concept drift refers to changes in p(y|X). Such c ...
... changes are visible from the data distribution without knowing the true labels, i.e. p(X) changes. From a predictive perspective only the changes that affect the prediction decision require adaptation. We can distinguish two types of drifts: (1) Real concept drift refers to changes in p(y|X). Such c ...
Document
... margins and an increase in discounting. This growing trend of concentration and increase in scale has a significant impact on the relation with the consumer and presents important challenges for today’s retailers, including the battle against decreased customer service and loyalty. Indeed, the rise ...
... margins and an increase in discounting. This growing trend of concentration and increase in scale has a significant impact on the relation with the consumer and presents important challenges for today’s retailers, including the battle against decreased customer service and loyalty. Indeed, the rise ...
Two Supervised Learning Approaches for Name
... as record linkage [17], duplicate record detection and elimination [8, 26, 29], merge/purge [22], data association [6], database hardening [11], citation matching [28], name matching [7, 37, 9], and name authority work in library cataloging practice [40, 15, 19]. Citation matching, name matching and ...
... as record linkage [17], duplicate record detection and elimination [8, 26, 29], merge/purge [22], data association [6], database hardening [11], citation matching [28], name matching [7, 37, 9], and name authority work in library cataloging practice [40, 15, 19]. Citation matching, name matching and ...
What has been will be again : A Machine Learning Approach to the Analysis of Natural Language
... a set of acyclic probabilistic nite automata which model the distribution of the di erent cursive letters are used to calculate the probabilities of subsequences of motor control commands. Lastly, a language model, based on a Markov model with variable memory length, is used for selecting the most ...
... a set of acyclic probabilistic nite automata which model the distribution of the di erent cursive letters are used to calculate the probabilities of subsequences of motor control commands. Lastly, a language model, based on a Markov model with variable memory length, is used for selecting the most ...
Trend Mining for Predictive Product Design
... 2.2.2 Time Series Data Mining Models. The area of data mining dealing with dynamic information processing is relatively new and has great potential to address many challenging areas of research. Change Mining is the umbrella term used to describe research involving data evolution in dynamic data bas ...
... 2.2.2 Time Series Data Mining Models. The area of data mining dealing with dynamic information processing is relatively new and has great potential to address many challenging areas of research. Change Mining is the umbrella term used to describe research involving data evolution in dynamic data bas ...
Goal Recognition Design - Association for the Advancement of
... fi is a copy of F for agent i, split is a fluent representing the no-cost action DoSplit has occurred, and done0 is a fluent indicating the no-cost Done0 has occurred. The initial state is common to both agents and does not include the split and done0 fluents. Until a DoSplit action is performed, th ...
... fi is a copy of F for agent i, split is a fluent representing the no-cost action DoSplit has occurred, and done0 is a fluent indicating the no-cost Done0 has occurred. The initial state is common to both agents and does not include the split and done0 fluents. Until a DoSplit action is performed, th ...
link - Worcester Polytechnic Institute
... relevance. At their best they have been shown to achieve the same educational gain as one on one human tutoring (Koedinger et al., 1997). They have also received the attention of White House, which mentioned a tutoring platform named ASSISTments in its National Educational Technology Plan (Departmen ...
... relevance. At their best they have been shown to achieve the same educational gain as one on one human tutoring (Koedinger et al., 1997). They have also received the attention of White House, which mentioned a tutoring platform named ASSISTments in its National Educational Technology Plan (Departmen ...
Statistics
... civil society by seeking nominations from their organizations. In order to impart quality education which is at par with international standards, HEC NCRCs have developed unified templates as guidelines for the development and revision of curricula in the disciplines of Basic Sciences, Applied Scien ...
... civil society by seeking nominations from their organizations. In order to impart quality education which is at par with international standards, HEC NCRCs have developed unified templates as guidelines for the development and revision of curricula in the disciplines of Basic Sciences, Applied Scien ...
Constraint Based Reasoning over Mutex Relations in Graphplan
... out more incompatibilities than it is done by existing Graphplan based algorithms. Such a technique would provide a more accurate approximation of reachable states within the planning graph. The necessary condition for plan existence would be tighter. In the following paragraphs we will describe suc ...
... out more incompatibilities than it is done by existing Graphplan based algorithms. Such a technique would provide a more accurate approximation of reachable states within the planning graph. The necessary condition for plan existence would be tighter. In the following paragraphs we will describe suc ...