Induction and Decision Trees
... Induction of Decision Trees •Objective: find a concise decision tree that agrees with the examples • “concise” instead of “optimal” because the latter is NPcomplete • So we will perform heuristic approximations to the problem • Aiming at getting good solutions but not necessarily optimal •Sometimes ...
... Induction of Decision Trees •Objective: find a concise decision tree that agrees with the examples • “concise” instead of “optimal” because the latter is NPcomplete • So we will perform heuristic approximations to the problem • Aiming at getting good solutions but not necessarily optimal •Sometimes ...
Paper - FB3
... goals is to provide a toolbox of logics such that, for a given application, one can select a DL with adequate expressivity. Here, adequate means that, on the one hand, all relevant concepts from the application domain can be captured. On the other hand, no unessential means of expressivity should be ...
... goals is to provide a toolbox of logics such that, for a given application, one can select a DL with adequate expressivity. Here, adequate means that, on the one hand, all relevant concepts from the application domain can be captured. On the other hand, no unessential means of expressivity should be ...
Varieties of Analogical Reasoning
... the terms, and the sorts of relations or transformations to be involved in the analogies. Analogies are created such that they have three terms, accompanied by a set of choice terms that might be completions such that only one of the alternatives is "correct" (i.e., it satisfies the intended relatio ...
... the terms, and the sorts of relations or transformations to be involved in the analogies. Analogies are created such that they have three terms, accompanied by a set of choice terms that might be completions such that only one of the alternatives is "correct" (i.e., it satisfies the intended relatio ...
My Resume (in pdf)
... In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL-2017), to appear, Vancouver, Canada (2017). 2. Enamul Hoque, Shafiq Joty, Lluı́s Màrquez, and Giuseppe Carenini., “CQAVis: Visual Text Analytics for Community Question Answering.”, In Proceedings of the ...
... In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL-2017), to appear, Vancouver, Canada (2017). 2. Enamul Hoque, Shafiq Joty, Lluı́s Màrquez, and Giuseppe Carenini., “CQAVis: Visual Text Analytics for Community Question Answering.”, In Proceedings of the ...
A Personalized Emotional Intelligent Tutoring System Based on AI
... the learning process and to teach students according to their personality types. Thus, students with 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 b ...
... the learning process and to teach students according to their personality types. Thus, students with 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 b ...
Semantic Enrichment - UMKC School of Computing and Engineering
... product) to Falco colombarius (a bird also called merlin). Similarly, oxygen sensor (a molecular function) should not be matched with oxygen sensor (a medical device). Pisanelli et al. [17] mentioned that the UMLS two-level structure provides invaluable advantages in ontological analysis and integra ...
... product) to Falco colombarius (a bird also called merlin). Similarly, oxygen sensor (a molecular function) should not be matched with oxygen sensor (a medical device). Pisanelli et al. [17] mentioned that the UMLS two-level structure provides invaluable advantages in ontological analysis and integra ...
Trehan,K. WHO IS NOT SLEEPING WITH WHOM WHAT`S
... It is not that in the past there have not been voices calling for recognition of learning within HRD. Marsick and Watkins (1990) are perhaps most notable, drawing attention over 10 years ago to informal and incidental sources of learning; ‘Informal learning…can be planned, but includes learning that ...
... It is not that in the past there have not been voices calling for recognition of learning within HRD. Marsick and Watkins (1990) are perhaps most notable, drawing attention over 10 years ago to informal and incidental sources of learning; ‘Informal learning…can be planned, but includes learning that ...
Efficient Deep Feature Learning and Extraction via StochasticNets
... feature learning and extraction in embedded systems have been to design custom embedded processing units dedicated to accelerating deep neural networks [8, 18, 12] . However, such an approach greatly limits the flexibility of the type of deep neural network architectures that can be used. Furthermor ...
... feature learning and extraction in embedded systems have been to design custom embedded processing units dedicated to accelerating deep neural networks [8, 18, 12] . However, such an approach greatly limits the flexibility of the type of deep neural network architectures that can be used. Furthermor ...
A Mixed-Initiative Approach to Rule Refinement for Knowledge
... hierarchical description of the objects and features from an application domain, and a set of task reduction rules and solution composition rules expressed with these objects. To teach the Disciple agent, the expert defines specific problems and helps the agent to understand each reasoning step towa ...
... hierarchical description of the objects and features from an application domain, and a set of task reduction rules and solution composition rules expressed with these objects. To teach the Disciple agent, the expert defines specific problems and helps the agent to understand each reasoning step towa ...
Introduction to Artificial Intelligence (Undergraduate Topics in
... sciences and, for the most part, requires high school level knowledge of mathematics. In several places, knowledge from linear algebra and multidimensional analysis is needed. For a deeper understanding of the contents, actively working on the exercises is indispensable. This means that the solution ...
... sciences and, for the most part, requires high school level knowledge of mathematics. In several places, knowledge from linear algebra and multidimensional analysis is needed. For a deeper understanding of the contents, actively working on the exercises is indispensable. This means that the solution ...
Multi-Class Imbalance Problems - School of Computer Science
... techniques and how it affects the classification performance. Such information would help us to understand the multi-class issue better, and can be utilized to develop better solutions. Most existing imbalance learning techniques are only designed for and tested in two-class scenarios. They have bee ...
... techniques and how it affects the classification performance. Such information would help us to understand the multi-class issue better, and can be utilized to develop better solutions. Most existing imbalance learning techniques are only designed for and tested in two-class scenarios. They have bee ...
Semantic Enrichment - UMKC School of Computing and Engineering
... product) to Falco colombarius (a bird also called merlin). Similarly, oxygen sensor (a molecular function) should not be matched with oxygen sensor (a medical device). Pisanelli et al. [17] mentioned that the UMLS two-level structure provides invaluable advantages in ontological analysis and integra ...
... product) to Falco colombarius (a bird also called merlin). Similarly, oxygen sensor (a molecular function) should not be matched with oxygen sensor (a medical device). Pisanelli et al. [17] mentioned that the UMLS two-level structure provides invaluable advantages in ontological analysis and integra ...
Curriculum Vitae
... Main Research Interest: The application and development of machinelearning (ML)—specifically the area of Inductive Logic Programming (ILP), with applications to a wide variety of areas including the sciences (mainly life sciences) and text analysis (information extraction from text). Current Researc ...
... Main Research Interest: The application and development of machinelearning (ML)—specifically the area of Inductive Logic Programming (ILP), with applications to a wide variety of areas including the sciences (mainly life sciences) and text analysis (information extraction from text). Current Researc ...
Reciprocal tutoring using cognitive tools
... 418 W.K. Wong et al others and of herself, and thus enhance her meta-cognition and mental capacity for critical thinking. In the last decade or so, ITS researchers began to pay more attention to designing social learning environments where students interact not just with authoritative tutors but wi ...
... 418 W.K. Wong et al others and of herself, and thus enhance her meta-cognition and mental capacity for critical thinking. In the last decade or so, ITS researchers began to pay more attention to designing social learning environments where students interact not just with authoritative tutors but wi ...
Notes 1: Introduction to Artificial Intelligence
... Can Computers Learn and Adapt ? • Learning and Adaptation – consider a computer learning to drive on the freeway – we could teach it lots of rules about what to do – or we could let it drive and steer it back on course when it heads for the embankment • systems like this are under development (e.g. ...
... Can Computers Learn and Adapt ? • Learning and Adaptation – consider a computer learning to drive on the freeway – we could teach it lots of rules about what to do – or we could let it drive and steer it back on course when it heads for the embankment • systems like this are under development (e.g. ...
nervous system
... Question What type of headache would be most common in a profession such as medical transcription, which involves being in the same position for an extended period of time? a. b. c. d. ...
... Question What type of headache would be most common in a profession such as medical transcription, which involves being in the same position for an extended period of time? a. b. c. d. ...
Hebb repetition learning 1 VISUAL AND PHONOLOGICAL HEBB
... repeats of the repeating list involved the same spatial pattern of clicks on each occasion. This is important given Fendrich, Healy and Bourne’s (1991) finding of time savings in digit-sequence typing when, using a remapped number-pad, spatial tapping-order is maintained even though the to-be-typed ...
... repeats of the repeating list involved the same spatial pattern of clicks on each occasion. This is important given Fendrich, Healy and Bourne’s (1991) finding of time savings in digit-sequence typing when, using a remapped number-pad, spatial tapping-order is maintained even though the to-be-typed ...
Welcome to IJCAI 2015!
... encouraged to be innovative in designing their programs. A new-problem paper type is introduced in the Machine Learning Track, for example, to allow researchers who report on novel AI and Machine Learning ‘problems’ to have a voice. Special ‘integrated solution’ sessions were also reserved for paper ...
... encouraged to be innovative in designing their programs. A new-problem paper type is introduced in the Machine Learning Track, for example, to allow researchers who report on novel AI and Machine Learning ‘problems’ to have a voice. Special ‘integrated solution’ sessions were also reserved for paper ...
Does machine learning need fuzzy logic?
... whereas rule models are almost absent in this field. Medical scientists are fond of logistic regression because each model parameter has a clear meaning: it quantifies the influence of an individual predictor variable, in terms of direction and strength, on the overall outcome or prediction. For exa ...
... whereas rule models are almost absent in this field. Medical scientists are fond of logistic regression because each model parameter has a clear meaning: it quantifies the influence of an individual predictor variable, in terms of direction and strength, on the overall outcome or prediction. For exa ...
Human-Based Computation for Microfossil Identification
... intelligence (AI) complete problem, i.e., a central problem unsolvable with a simple algorithm. ...
... intelligence (AI) complete problem, i.e., a central problem unsolvable with a simple algorithm. ...
Chapter 04 Decision Support and Artificial Intelligence
... suggested other products based on the information you've gathered on this customer and similar customers, what intelligent agent would you be using? a. Data-mining agent b. User agent c. Predictive agent D. Shopping bot ...
... suggested other products based on the information you've gathered on this customer and similar customers, what intelligent agent would you be using? a. Data-mining agent b. User agent c. Predictive agent D. Shopping bot ...
Human and Rodent Homologies in Action Control - Research
... to devaluation. This was consistent with the view that R–O learning dominated performance early after acquisition but gave way to an S–R process, as performance became more routine or habitual (see also Dickinson, 1994; Dickinson et al, 1995). Importantly, very similar effects have been found in hum ...
... to devaluation. This was consistent with the view that R–O learning dominated performance early after acquisition but gave way to an S–R process, as performance became more routine or habitual (see also Dickinson, 1994; Dickinson et al, 1995). Importantly, very similar effects have been found in hum ...
Matching Conflicts: Functional Validation of Agents
... For convenience, let us consider the simplest eases in situation 4.1. Here assume the input space X is a fixed set, either finite, countably infinite, [0,1] n, or nE (Euclidean n-dimensional space) for some > I. In the agent functional validation problem, we are concerned with whether the service ag ...
... For convenience, let us consider the simplest eases in situation 4.1. Here assume the input space X is a fixed set, either finite, countably infinite, [0,1] n, or nE (Euclidean n-dimensional space) for some > I. In the agent functional validation problem, we are concerned with whether the service ag ...
Siri, a Virtual Personal Assistant Bringing Intelligence to the Interface
... Combines autonomy and ability to learn, develop ...
... Combines autonomy and ability to learn, develop ...
Conceptual Graphs and First Order Logic
... As mentioned by Gaines [2], conceptual graphs can be considered as a basis for an operational knowledge science and technology encompassing natural language, formal language, visual language, and a range of reasoning processes that may be based on them. As will be shown in this paper, conceptual gra ...
... As mentioned by Gaines [2], conceptual graphs can be considered as a basis for an operational knowledge science and technology encompassing natural language, formal language, visual language, and a range of reasoning processes that may be based on them. As will be shown in this paper, conceptual gra ...