Episodic memory as a prerequisite for online updates
... long as both parameters and models are updated, this procedure provides a consistent method to update and compare alternative hypotheses on how the model was generated without needing to keep a growing data set in memory. In contrast, if we track only a limited number of models (one model being an e ...
... long as both parameters and models are updated, this procedure provides a consistent method to update and compare alternative hypotheses on how the model was generated without needing to keep a growing data set in memory. In contrast, if we track only a limited number of models (one model being an e ...
The computational modeling of analogy-making
... micro-world. This program had an LTM knowledge base (stored as production rules) and a working memory. ANA progressively built the appropriate productions needed to solve the target task, analogous to a source task stored in LTM that it already knows how to do. It learned by saving the new productio ...
... micro-world. This program had an LTM knowledge base (stored as production rules) and a working memory. ANA progressively built the appropriate productions needed to solve the target task, analogous to a source task stored in LTM that it already knows how to do. It learned by saving the new productio ...
Learning from Observations - cse.sc.edu
... in1608 – ball rolling down an inclined plane, then continuing in free-fall • Occam's razor ( suggests the simpler model is better; it has a higher prior probability • The simpler model may have a greater posterior probability (the plausibility of the model): Occam’s razor is not only a good heuristi ...
... in1608 – ball rolling down an inclined plane, then continuing in free-fall • Occam's razor ( suggests the simpler model is better; it has a higher prior probability • The simpler model may have a greater posterior probability (the plausibility of the model): Occam’s razor is not only a good heuristi ...
1 Throwing out the Tacit Rule Book: Learning and Practices Stephen
... The implication of this that bears on the theory of social practices or the idea of shared practices is that two individuals with an ability to perform the general kind of task may go about it in ways that are quite different on the level of neuro-cognitive description. Put more simply, if we throw ...
... The implication of this that bears on the theory of social practices or the idea of shared practices is that two individuals with an ability to perform the general kind of task may go about it in ways that are quite different on the level of neuro-cognitive description. Put more simply, if we throw ...
Machine Humanity: How the Machine Learning of Today is
... What does it take to succeed with machine learning — in terms of people, processes, and technology? What do organizations need to get right? JR: The people side can be challenging because the skills and talents needed are in high demand and often hard to come by. The key role is the data scientist, ...
... What does it take to succeed with machine learning — in terms of people, processes, and technology? What do organizations need to get right? JR: The people side can be challenging because the skills and talents needed are in high demand and often hard to come by. The key role is the data scientist, ...
Generating Concept Map Exercises from Textbooks
... menstrual cycle has four phases” has AO cycle and A1 phases. Using just A0 and A1, the extracted triple would be menstrual cycle has-property phases. Using the span dominated by the predicate yields menstrual cycle has-property four phases, which is more correct in this situation. As can be seen in ...
... menstrual cycle has four phases” has AO cycle and A1 phases. Using just A0 and A1, the extracted triple would be menstrual cycle has-property phases. Using the span dominated by the predicate yields menstrual cycle has-property four phases, which is more correct in this situation. As can be seen in ...
Neural Nets
... ANN is an abstract computational model of the human brain. Human brain has the ability to learn and generalize. Learning: connecting neurons into paths, i.e. neurons “fire” other neurons (using the process of chemical change), and “remembering” those paths. Recall: activating a collection of neurons ...
... ANN is an abstract computational model of the human brain. Human brain has the ability to learn and generalize. Learning: connecting neurons into paths, i.e. neurons “fire” other neurons (using the process of chemical change), and “remembering” those paths. Recall: activating a collection of neurons ...
Course : Artificial Intelligence
... 30. Can we use backpropagation algorithm in two layers neural network. 31. Apply Entropy measures homogenetiy of examples to construct the decision tree, then extract the rules for the following database. ...
... 30. Can we use backpropagation algorithm in two layers neural network. 31. Apply Entropy measures homogenetiy of examples to construct the decision tree, then extract the rules for the following database. ...
A Modern, Agent-Oriented Approach to Introductory Artificial
... the environment, and show how it can perform better. This leads to s discussion of what kind of knowledge is worth maintaining, and how best to represent and reason with it. Only when we have established what knowledge is for (with concrete examples involving series of agents) do we cover the tradit ...
... the environment, and show how it can perform better. This leads to s discussion of what kind of knowledge is worth maintaining, and how best to represent and reason with it. Only when we have established what knowledge is for (with concrete examples involving series of agents) do we cover the tradit ...
chapter 18a slides
... ⇒ we need H(hp/(p + n), n/(p + n)i) bits to classify a new example E.g., for our example with 12 restaurants, p = n = 6 so we need 1 bit An attribute splits the examples E into subsets Ei, each of which (we hope) needs less information to complete the classification Let Ei have pi positive and ni ne ...
... ⇒ we need H(hp/(p + n), n/(p + n)i) bits to classify a new example E.g., for our example with 12 restaurants, p = n = 6 so we need 1 bit An attribute splits the examples E into subsets Ei, each of which (we hope) needs less information to complete the classification Let Ei have pi positive and ni ne ...
PDF hosted at the Radboud Repository of the Radboud University Nijmegen
... such way that the structures can be related to the logical structure of a guideline. Probabilistic approaches are in particular suitable for revealing the probabilistic nature of care processes, clarifying in essence how frequent particular care paths are taken. However, so far most of the research ...
... such way that the structures can be related to the logical structure of a guideline. Probabilistic approaches are in particular suitable for revealing the probabilistic nature of care processes, clarifying in essence how frequent particular care paths are taken. However, so far most of the research ...
Computational Intelligence Methods
... Supervised learning is the machine learning task of inferring a function from supervised training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value. Output is cla ...
... Supervised learning is the machine learning task of inferring a function from supervised training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value. Output is cla ...
Exponential Family Distributions
... S. Kullback and R. A. Leibler. On information and sufficiency. Annals of Mathematical Statistics, 22:79–86, 1951. S. L. Lauritzen and D.J. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, ...
... S. Kullback and R. A. Leibler. On information and sufficiency. Annals of Mathematical Statistics, 22:79–86, 1951. S. L. Lauritzen and D.J. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, ...
Presentation 3
... independently for each xi according to some Gaussian distribution with µ=0 Then the maximum likelihood hypothesis hML is the one that minimizes the sum of squared errors ...
... independently for each xi according to some Gaussian distribution with µ=0 Then the maximum likelihood hypothesis hML is the one that minimizes the sum of squared errors ...
Non-Traditional Projects in the Undergraduate AI Course
... students’ interest in additional AI and machine learning related areas [7,8]. Additional information about our work is available at http://uhaweb.hartford.edu/compsci/ccli. ...
... students’ interest in additional AI and machine learning related areas [7,8]. Additional information about our work is available at http://uhaweb.hartford.edu/compsci/ccli. ...
Prediction and Cognition or What is Knowledge, that a Machine may
... • AI agent should be embedded in an ongoing interaction with a world ...
... • AI agent should be embedded in an ongoing interaction with a world ...
Should I trust my teammates? An experiment in Heuristic
... stays in the same cell. If an action taken by the agent leads it out the board, the agent stands still. When a player with the ball gets into the opponent’s goal, the move ends and its team scores one point. At the beginning of each game, the agents are positioned in a random position and the posses ...
... stays in the same cell. If an action taken by the agent leads it out the board, the agent stands still. When a player with the ball gets into the opponent’s goal, the move ends and its team scores one point. At the beginning of each game, the agents are positioned in a random position and the posses ...
Intelligent Behavior in Humans and Machines
... inspiration and source of ideas without attempting to model its details. Other scientists, including Herbert Simon and Allen Newell, generally seen as two of the field’s co-founders, viewed themselves as cognitive psychologists who used AI systems to model the mechanisms that underlie human thought. ...
... inspiration and source of ideas without attempting to model its details. Other scientists, including Herbert Simon and Allen Newell, generally seen as two of the field’s co-founders, viewed themselves as cognitive psychologists who used AI systems to model the mechanisms that underlie human thought. ...
Basic Mechanisms of Learning and Memory
... ICV administration of AP5 on Morris Water-Maze Impaired acquisition of the maze and completely blocked perforant-path dentate LTP No acquisition of new location in reversal tests However, rats falling off platform – apparent sensorimotor defecits Could be overcome with pretraining, AP5 still produce ...
... ICV administration of AP5 on Morris Water-Maze Impaired acquisition of the maze and completely blocked perforant-path dentate LTP No acquisition of new location in reversal tests However, rats falling off platform – apparent sensorimotor defecits Could be overcome with pretraining, AP5 still produce ...
Smart Phone Based Data Mining for Human Activity Recognition
... predicted, and its value is determined by values of all other attributes. The independent variables in the dataset then form the independent attributes, and they help in predicting the value of the dependent variable. The following simple algorithmic approach is followed by the J48 Decision tree cla ...
... predicted, and its value is determined by values of all other attributes. The independent variables in the dataset then form the independent attributes, and they help in predicting the value of the dependent variable. The following simple algorithmic approach is followed by the J48 Decision tree cla ...
References
... frequently make (error types and examples) Devise a set of test calculus examples Give target user group test set and observe, collect log of their interaction (example errors) Analyse results to see most frequent errors Give questionnaire to teachers with example errors and ask what feedback they w ...
... frequently make (error types and examples) Devise a set of test calculus examples Give target user group test set and observe, collect log of their interaction (example errors) Analyse results to see most frequent errors Give questionnaire to teachers with example errors and ask what feedback they w ...
Self-improvement for dummies (Machine Learning) COS 116
... Easy to find examples of spam – you probably get hundreds a day! ...
... Easy to find examples of spam – you probably get hundreds a day! ...
Capturing knowledge about the instances behavior in probabilistic
... And the other community consists of planning researchers incorporating probabilistic and decision theoretic concepts into their planning algorithms [2]. Both approaches suppose we have at our disposal a representation of the action model ...
... And the other community consists of planning researchers incorporating probabilistic and decision theoretic concepts into their planning algorithms [2]. Both approaches suppose we have at our disposal a representation of the action model ...
O brave new world: the birth of an e-community
... teacher of English, Media, Drama and latterly Information Technology (IT), an educational software author and designer, an IT and English teacher educator and a mother. She traces how these roles combined and conflicted, impacting on the decisions she made to found a worldwide movement of teachers, ...
... teacher of English, Media, Drama and latterly Information Technology (IT), an educational software author and designer, an IT and English teacher educator and a mother. She traces how these roles combined and conflicted, impacting on the decisions she made to found a worldwide movement of teachers, ...
Book Recommending Using Text Categorization
... A number of other slots are also extracted (e.g. publisher, date, ISBN,price, related titles, customer ratings and reviews, etc.) but are currently not used by the recommender. Since the layout of Amazon’s automatically generated pages is quite regular, a fairly simple extraction system is sufficien ...
... A number of other slots are also extracted (e.g. publisher, date, ISBN,price, related titles, customer ratings and reviews, etc.) but are currently not used by the recommender. Since the layout of Amazon’s automatically generated pages is quite regular, a fairly simple extraction system is sufficien ...