Sociology: Computational Organization Theory Keywords
... Rarely today are organizational models as simple as the garbage can model (Cohen, March and Olsen, 1972) which can be run in a few minutes on a small machine. Rather many, of the models require hours or even days to run a single test and many must be run on high performance workstations. Note, on mo ...
... Rarely today are organizational models as simple as the garbage can model (Cohen, March and Olsen, 1972) which can be run in a few minutes on a small machine. Rather many, of the models require hours or even days to run a single test and many must be run on high performance workstations. Note, on mo ...
INTELLIGENT REASONING ON NATURAL
... are initially so flexible that they can represent and combine different data modalities (shapes, colors, sounds, meanings) within the same ontology when they are infants. Though human knowledge representations may be specialized as we grow up, our analogy making and even creativity skills seem relat ...
... are initially so flexible that they can represent and combine different data modalities (shapes, colors, sounds, meanings) within the same ontology when they are infants. Though human knowledge representations may be specialized as we grow up, our analogy making and even creativity skills seem relat ...
An Efficient Learning Procedure for Deep Boltzmann Machines
... and the states of the visible and hidden units are sampled from the joint distribution defined by the parameters of the model. Hinton and Sejnowski (1983) estimated the data-dependent statistics by clamping a training vector on the visible units, initializing the hidden units to random binary states ...
... and the states of the visible and hidden units are sampled from the joint distribution defined by the parameters of the model. Hinton and Sejnowski (1983) estimated the data-dependent statistics by clamping a training vector on the visible units, initializing the hidden units to random binary states ...
- MIT Press Journals
... and the states of the visible and hidden units are sampled from the joint distribution defined by the parameters of the model. Hinton and Sejnowski (1983) estimated the data-dependent statistics by clamping a training vector on the visible units, initializing the hidden units to random binary states ...
... and the states of the visible and hidden units are sampled from the joint distribution defined by the parameters of the model. Hinton and Sejnowski (1983) estimated the data-dependent statistics by clamping a training vector on the visible units, initializing the hidden units to random binary states ...
Reinforcement Learning and the Reward
... For most concrete cases faced today—by Mars rovers, or by financial agents, for example—the reader should be able to devise ad hoc reward engineering methods that prevent some pathological dominance relationships from holding. However, the theoretical problem remains unsolved, and may rear its head ...
... For most concrete cases faced today—by Mars rovers, or by financial agents, for example—the reader should be able to devise ad hoc reward engineering methods that prevent some pathological dominance relationships from holding. However, the theoretical problem remains unsolved, and may rear its head ...
Aalborg Universitet
... there are applications where this is not enough (e.g. data mining and bioinformatics): We should as well assist the user in interpreting the model. Unfortunately, there is little research on how to proceed in these cases. In this paper we focus on a solution that we call feature analysis. It consist ...
... there are applications where this is not enough (e.g. data mining and bioinformatics): We should as well assist the user in interpreting the model. Unfortunately, there is little research on how to proceed in these cases. In this paper we focus on a solution that we call feature analysis. It consist ...
CUUS366-02 clean wjc
... Society of Mind does not mention systems theory, but it does credit cybernetics with enabling psychology to use the concept of goal (p. 318). Minsky includes internal regulation and feedback in his framework, which is clearly based on biological theory. But like Newell and Simon (1972), having conce ...
... Society of Mind does not mention systems theory, but it does credit cybernetics with enabling psychology to use the concept of goal (p. 318). Minsky includes internal regulation and feedback in his framework, which is clearly based on biological theory. But like Newell and Simon (1972), having conce ...
Computational Creativity, Concept Invention, and General
... XIII]). While in GT the resulting theory can be evaluated according to a set of criteria including fit to data, predictive and explanatory power, logical consistency, clarity and scope, due to the preliminary nature of our work, we do not carry out evaluation at this stage. ...
... XIII]). While in GT the resulting theory can be evaluated according to a set of criteria including fit to data, predictive and explanatory power, logical consistency, clarity and scope, due to the preliminary nature of our work, we do not carry out evaluation at this stage. ...
Autonomous agent based on reinforcement learning
... acquired action (task) plan is stored as experience which can be used in solving similar future problems. To provide the recognition of problem similarities, the Adaptive Fuzzy Shadowed (AFS) neural network is designed. This novel network concept with a fuzzy learning rule and shadowed hidden layer ...
... acquired action (task) plan is stored as experience which can be used in solving similar future problems. To provide the recognition of problem similarities, the Adaptive Fuzzy Shadowed (AFS) neural network is designed. This novel network concept with a fuzzy learning rule and shadowed hidden layer ...
learning a secondary discourse
... Figure 2: Citizenship practices (from Covitt, et al, 2009) Figure 2 is our framework for citizenship practices. It suggests that the decisions we make in public and private citizens’ roles involve four kinds of practices, two of which we have typically grouped together in our work: 1. Inquiry (Inves ...
... Figure 2: Citizenship practices (from Covitt, et al, 2009) Figure 2 is our framework for citizenship practices. It suggests that the decisions we make in public and private citizens’ roles involve four kinds of practices, two of which we have typically grouped together in our work: 1. Inquiry (Inves ...
PDF
... habit system, often associated with subcortical regions including, in particular, parts of the basal ganglia and amygdala2. According to parallel computational and learning theory accounts3, these two systems are distinguished by the type and complexity of their underlying associative representation ...
... habit system, often associated with subcortical regions including, in particular, parts of the basal ganglia and amygdala2. According to parallel computational and learning theory accounts3, these two systems are distinguished by the type and complexity of their underlying associative representation ...
Minutes 23 11 2010 - the University Sector Framework
... Consideration should be given to how RPL data is recorded, who has access to it and who uses it in order to avoid leaners that have entered via an RPL route being “tagged” with this label. ...
... Consideration should be given to how RPL data is recorded, who has access to it and who uses it in order to avoid leaners that have entered via an RPL route being “tagged” with this label. ...
2012 version HERE . - School of Computer Science
... There are recurring debates about how to teach children to read, by debaters who have never designed or debugged a machine that is capable of visual perception, language production, language understanding, thinking, learning, or reading stories. In particular, uninformed battles rage on whether to u ...
... There are recurring debates about how to teach children to read, by debaters who have never designed or debugged a machine that is capable of visual perception, language production, language understanding, thinking, learning, or reading stories. In particular, uninformed battles rage on whether to u ...
Ohio Professional Development Standards
... Ohio Professional Development Standards Standard 1: Effective professional development is a purposeful, structured and continuous process that occurs over time. Narrative Summary: Professional development is a continuous process that includes multiple steps: planning, implementation, reflection, eva ...
... Ohio Professional Development Standards Standard 1: Effective professional development is a purposeful, structured and continuous process that occurs over time. Narrative Summary: Professional development is a continuous process that includes multiple steps: planning, implementation, reflection, eva ...
Supporting Compositional Creativity Using Automatic Style-Specific Accompaniment Ching-Hua Chuan
... chords, based on a neo-Riemannian operational framework [4]. The system first produces chords for melody segments in which notes tend toward stable harmonization, then revises chord sequences according to probability distributions of neo-Riemannian patterns. Notice that in ASSA, users can control th ...
... chords, based on a neo-Riemannian operational framework [4]. The system first produces chords for melody segments in which notes tend toward stable harmonization, then revises chord sequences according to probability distributions of neo-Riemannian patterns. Notice that in ASSA, users can control th ...
Edo Bander
... colored vessels, thal and class. The contribution of all attributes is independent and each contributes equally to the classification problem. By analyzing the contribution of each attribute, a conditional probability is determined. The classification that will be analyzed is made by combining the i ...
... colored vessels, thal and class. The contribution of all attributes is independent and each contributes equally to the classification problem. By analyzing the contribution of each attribute, a conditional probability is determined. The classification that will be analyzed is made by combining the i ...
An Efficient Learning Procedure for Deep Boltzmann Machines
... An undirected graphical model, such as a Boltzmann Machine, has an additional, data-independent term in the maximum likelihood gradient. This term is the derivative of the log partition function and, unlike the data-dependent term, it has a negative sign. This means that if a variational approximati ...
... An undirected graphical model, such as a Boltzmann Machine, has an additional, data-independent term in the maximum likelihood gradient. This term is the derivative of the log partition function and, unlike the data-dependent term, it has a negative sign. This means that if a variational approximati ...
A Review of Machine Learning for Automated Plan- ning
... control knowledge to allow the planner the use of different representations. There are cases, however, where this division between models and control knowledge is unclear like, for example, macro actions that can be placed in both categories. The paper also reviews the latest techniques in Reinforce ...
... control knowledge to allow the planner the use of different representations. There are cases, however, where this division between models and control knowledge is unclear like, for example, macro actions that can be placed in both categories. The paper also reviews the latest techniques in Reinforce ...
Author / Computing, 2000, Vol. 0, Issue 0, 1
... programme computers with a storage capacity of about 109 bits to make them play the imitation game so well that an average interrogator will not have more than 70% chance of making the right identification after five minutes of questioning." ...
... programme computers with a storage capacity of about 109 bits to make them play the imitation game so well that an average interrogator will not have more than 70% chance of making the right identification after five minutes of questioning." ...
11. Pankaj Gupta and V.H. Allan, The Acyclic Bayesian Net
... and Y . It is decided randomly which set of daughter chromosomes (methods M1 or M2) is actually produced. Arcs in the parent nodes are transferred to the daughters, either directly or by reversing the order. For X, the parent relation between the nodes of a1 (or b2) are directly transferred from A ( ...
... and Y . It is decided randomly which set of daughter chromosomes (methods M1 or M2) is actually produced. Arcs in the parent nodes are transferred to the daughters, either directly or by reversing the order. For X, the parent relation between the nodes of a1 (or b2) are directly transferred from A ( ...
Improving Semantic Integration by Learning
... by the semantic interpretation and integration do not leverage the full representational power of KM (Clark & Porter 1998), they are simply graphs of instances. Even so, integrating these simple forms into the knowledge base allows the facts and axioms associated with the concepts involved to be use ...
... by the semantic interpretation and integration do not leverage the full representational power of KM (Clark & Porter 1998), they are simply graphs of instances. Even so, integrating these simple forms into the knowledge base allows the facts and axioms associated with the concepts involved to be use ...
Intelligent Online e-Learning Systems: A Comparative Study
... learner progress and facilitate interactions between the instructor and learners that are struggling with a particular topic [8]. The problem in the existing web based online e-learning system is the lack of personalization due to weak semantic learning resources. Insufficient semantic parts in web ...
... learner progress and facilitate interactions between the instructor and learners that are struggling with a particular topic [8]. The problem in the existing web based online e-learning system is the lack of personalization due to weak semantic learning resources. Insufficient semantic parts in web ...
PDF
... feasible by making a strong independence assumption: all the attributes are conditionally independent given the value of the label .1 The performance of naive Bayes is somewhat surprising given that this is clearly an unrealistic assumption. Consider for example a classifier for assessing the ...
... feasible by making a strong independence assumption: all the attributes are conditionally independent given the value of the label .1 The performance of naive Bayes is somewhat surprising given that this is clearly an unrealistic assumption. Consider for example a classifier for assessing the ...
modeling dynamical systems by means of dynamic bayesian networks
... They can be described through the multiple states of observations that all together lead up to final event. The ability to model effectively the temporal aspects of the domain plays cruicial role in modeling the World. For example, in medicine representing and reasoning about time is cruitial for pr ...
... They can be described through the multiple states of observations that all together lead up to final event. The ability to model effectively the temporal aspects of the domain plays cruicial role in modeling the World. For example, in medicine representing and reasoning about time is cruitial for pr ...
Learning the Structure of Factored Markov Decision Processes in
... To determine the best test to install at a decision node, decision tree induction algorithms are based on an information-theoric metric. This metric is computed for each attribute νi ∈ A. Different metrics have been proposed such as gain ratio, Kolmogorov-Smirnoff or χ2 . In spiti, we use χ2 because ...
... To determine the best test to install at a decision node, decision tree induction algorithms are based on an information-theoric metric. This metric is computed for each attribute νi ∈ A. Different metrics have been proposed such as gain ratio, Kolmogorov-Smirnoff or χ2 . In spiti, we use χ2 because ...