ppt - MSDL
... – An interactive sketch-based tool for the early stages of user-interface design. – Designed and developed by researchers at University of California, Berkeley and Carnegie ...
... – An interactive sketch-based tool for the early stages of user-interface design. – Designed and developed by researchers at University of California, Berkeley and Carnegie ...
cognitive systems
... developing a decision support system capable of generating recommendations to a user, thus assisting him in decision making. It is important for such a system to model user's preferences accurately, find hidden preferences and avoid redundancy. This problem is sometimes studied as a computational le ...
... developing a decision support system capable of generating recommendations to a user, thus assisting him in decision making. It is important for such a system to model user's preferences accurately, find hidden preferences and avoid redundancy. This problem is sometimes studied as a computational le ...
Diagnosing Self-Efficacy in Intelligent Tutoring Systems: An
... for preliminary predictive model induction for large multidimensional data, such as the 144-attribute vector used in this experiment. Because it is unclear precisely which runtime variables are likely to be the most predictive, naïve Bayes and decision tree modeling provide useful analyses that can ...
... for preliminary predictive model induction for large multidimensional data, such as the 144-attribute vector used in this experiment. Because it is unclear precisely which runtime variables are likely to be the most predictive, naïve Bayes and decision tree modeling provide useful analyses that can ...
Case Representation Issues for Case
... This theorem was proposed by the Marquis of Condorcet in 1784 (Condorcet, 1784) – a more accessible reference is (Nitzan & Paroush, 1985). We know now that M will be greater that p only if there is diversity in the pool of voters. And we know that the probability of the ensemble being correct will ...
... This theorem was proposed by the Marquis of Condorcet in 1784 (Condorcet, 1784) – a more accessible reference is (Nitzan & Paroush, 1985). We know now that M will be greater that p only if there is diversity in the pool of voters. And we know that the probability of the ensemble being correct will ...
Learning Low-Rank Representations with Classwise Block
... The Extended Yale B database consists of 2414 frontal-face images of 38 individuals. The images were taken under different poses and illumination conditions with size 192×168. For each person, there are about 59-64 images. We test our approach on the down-sampled images with sample rate 1/2, 1/4, 1/ ...
... The Extended Yale B database consists of 2414 frontal-face images of 38 individuals. The images were taken under different poses and illumination conditions with size 192×168. For each person, there are about 59-64 images. We test our approach on the down-sampled images with sample rate 1/2, 1/4, 1/ ...
The Rise of Granular Computing - University of Regina
... systematically studies the mechanisms of human information processing from both the macro and micro viewpoints by combining experimental cognitive neuroscience with advanced information technology. BI studies human brain from the viewpoint of informatics (i.e., human brain is an information processi ...
... systematically studies the mechanisms of human information processing from both the macro and micro viewpoints by combining experimental cognitive neuroscience with advanced information technology. BI studies human brain from the viewpoint of informatics (i.e., human brain is an information processi ...
A Personalized Emotional Intelligent Tutoring System Based on AI
... various personality types differ in their cognitive capabilities, emotional and motivational states, learning style, appraisal, and coping way with incoming events. Although several approaches have been constructed for ITS, enhancing students emotional intelligence has not been considered so far. Em ...
... various personality types differ in their cognitive capabilities, emotional and motivational states, learning style, appraisal, and coping way with incoming events. Although several approaches have been constructed for ITS, enhancing students emotional intelligence has not been considered so far. Em ...
A process-mining framework for the detection of
... The huge human effort raises the need of using information techniques to detect suspicious cases (Frieden, 1992). EFD, an expert system developed by Travel-Insurance Companies (Major & Riedinger, 1995), utilizes micro-knowledge (behavioral heuristics) coupled with information theory to select rules ...
... The huge human effort raises the need of using information techniques to detect suspicious cases (Frieden, 1992). EFD, an expert system developed by Travel-Insurance Companies (Major & Riedinger, 1995), utilizes micro-knowledge (behavioral heuristics) coupled with information theory to select rules ...
The role of artificial intelligence in the integration of remotely sensed
... AI can play a role in the development of advanced geographic information systems. If we view geographic information systems as an application area for the use of AI technology and approaches, there are several sub-areas of AI which may hold promise such as knowledge representation and utilization, k ...
... AI can play a role in the development of advanced geographic information systems. If we view geographic information systems as an application area for the use of AI technology and approaches, there are several sub-areas of AI which may hold promise such as knowledge representation and utilization, k ...
IBM Presentations: Blue Pearl DeLuxe template
... Autonomic features of DB2: Key to lowering Total Cost of Ownership A major DB2 differentiator Now in DB2 are the "tip of the iceberg"! Many more on the way in technology stream from ...
... Autonomic features of DB2: Key to lowering Total Cost of Ownership A major DB2 differentiator Now in DB2 are the "tip of the iceberg"! Many more on the way in technology stream from ...
Automatic conversion of sentence-end expressions for utterance
... it is expensive to do this for a large number of utterances for various types of characters. We propose a method for automatically converting system utterances into those that are characteristic of designated personal attributes, such as gender, age and area of residence, to characterize agents. In ...
... it is expensive to do this for a large number of utterances for various types of characters. We propose a method for automatically converting system utterances into those that are characteristic of designated personal attributes, such as gender, age and area of residence, to characterize agents. In ...
Machine Condition Monitoring Using Artificial Intelligence: The
... monitoring, it has been accepted that the software module such as intelligent agents can be used to promote extensibility and modularity of the system [7]. ...
... monitoring, it has been accepted that the software module such as intelligent agents can be used to promote extensibility and modularity of the system [7]. ...
Optimal Ensemble Construction via Meta-Evolutionary
... We propose to directly optimize ensembles by creating an two-level evolutionary environment. The various ensembles in this environment compete directly with one another, being judged on their estimated predictive performance. In addition, the underlying classifiers also compete with each other, bein ...
... We propose to directly optimize ensembles by creating an two-level evolutionary environment. The various ensembles in this environment compete directly with one another, being judged on their estimated predictive performance. In addition, the underlying classifiers also compete with each other, bein ...
A Comparative Analysis of Classification with Unlabelled Data using
... sequential selection and joining and backward sequential elimination and joining. Result shows that the domains on which the most improvement occurs are those domains on which the naïve Bayesian classifier is significantly less accurate than a decision tree learner [5, 6]. Boosting on Naïve Bayesian ...
... sequential selection and joining and backward sequential elimination and joining. Result shows that the domains on which the most improvement occurs are those domains on which the naïve Bayesian classifier is significantly less accurate than a decision tree learner [5, 6]. Boosting on Naïve Bayesian ...
