Modelling Equidistant Frequency Permutation
... The symmetry breaking constraints in the non-Boolean model are removed, because they contradict those in the Boolean model. The Boolean model has three sets of constraints other than the symmetry breaking constraints. Inspection of each set suggests that they will provide no useful propagation, beca ...
... The symmetry breaking constraints in the non-Boolean model are removed, because they contradict those in the Boolean model. The Boolean model has three sets of constraints other than the symmetry breaking constraints. Inspection of each set suggests that they will provide no useful propagation, beca ...
Navigate Like a Cabbie: Probabilistic Reasoning from Observed
... for realizing ubiquitous computing systems that provide the right information and services to users at the appropriate moment. Unlike other methods, which directly model action sequences, PROCAB models the negative utility or cost of each action as a function of contextual variables associated with ...
... for realizing ubiquitous computing systems that provide the right information and services to users at the appropriate moment. Unlike other methods, which directly model action sequences, PROCAB models the negative utility or cost of each action as a function of contextual variables associated with ...
Using Model Trees for Computer Architecture Performance Analysis
... behaviors from application to application and often among different phases [7] of the same application. In contrast, this work establishes a classification of workloads or phases of workloads and builds a model for each using measured performance data rather than simulation data. In [12], [13], anal ...
... behaviors from application to application and often among different phases [7] of the same application. In contrast, this work establishes a classification of workloads or phases of workloads and builds a model for each using measured performance data rather than simulation data. In [12], [13], anal ...
Epistemological Remediation in Intelligent Tutoring
... (Woolf and Hall 1995). Remediation by means of instructional planning has also been widely studied (Wasson 1998). In this article, our goal is to propose a remediation framework at the finest level. Indeed, most models of instructional planning and remediation describe how a failure/error is detecte ...
... (Woolf and Hall 1995). Remediation by means of instructional planning has also been widely studied (Wasson 1998). In this article, our goal is to propose a remediation framework at the finest level. Indeed, most models of instructional planning and remediation describe how a failure/error is detecte ...
deep variational bayes filters: unsupervised learning of state space
... Julier & Uhlmann (1997), and are successfully applied in many areas, they suffer from two major drawbacks: firstly, its assumptions are restrictive and are violated in practical applications, leading to suboptimal results. Secondly, parameters such as Ft and Bt have to be known in order to perform p ...
... Julier & Uhlmann (1997), and are successfully applied in many areas, they suffer from two major drawbacks: firstly, its assumptions are restrictive and are violated in practical applications, leading to suboptimal results. Secondly, parameters such as Ft and Bt have to be known in order to perform p ...
position tracking system to find shortest path to object using
... enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. IV. BACKGROUND Previous research showed that there are various other algorithms being used to find the shortest distance such as Bellma ...
... enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. IV. BACKGROUND Previous research showed that there are various other algorithms being used to find the shortest distance such as Bellma ...
pdf
... In sum, for recursive models, the causal model framework does not add any restrictions to counterfactuals beyond those imposed by Lewis’s framework; the very general concept of closest worlds is sufficient. Put another way, the assumption of recursiveness is so strong that it already embodies all ot ...
... In sum, for recursive models, the causal model framework does not add any restrictions to counterfactuals beyond those imposed by Lewis’s framework; the very general concept of closest worlds is sufficient. Put another way, the assumption of recursiveness is so strong that it already embodies all ot ...
Surpassing Human-Level Face Verification Performance on LFW
... tree, or the number of centers in k-means) also need to be specified by users. Similarly, for the methods in the second category, the architectures of deep networks in (Sun, Wang, and Tang 2013; Taigman et al. 2014; Sun, Wang, and Tang 2014) (for example, the number of layers, the number of nodes in ...
... tree, or the number of centers in k-means) also need to be specified by users. Similarly, for the methods in the second category, the architectures of deep networks in (Sun, Wang, and Tang 2013; Taigman et al. 2014; Sun, Wang, and Tang 2014) (for example, the number of layers, the number of nodes in ...
A review of artificial intelligence applications in
... weights that produces the input/output mapping that has the smallest possible error. This process is called learning or training. Once the training phase of the model has been successfully accomplished, the performance of the trained model needs to be validated using an independent validation set. T ...
... weights that produces the input/output mapping that has the smallest possible error. This process is called learning or training. Once the training phase of the model has been successfully accomplished, the performance of the trained model needs to be validated using an independent validation set. T ...
1-up
... • This grammar still applies Verbs to NPs when inside the VP. • Try doing this with our new type-raised NPs and you will see it doesn’t work. • In practice, we need automatic type-raising rules that can be used exactly when needed, otherwise we keep the base type. – e.g., “base type” of proper noun ...
... • This grammar still applies Verbs to NPs when inside the VP. • Try doing this with our new type-raised NPs and you will see it doesn’t work. • In practice, we need automatic type-raising rules that can be used exactly when needed, otherwise we keep the base type. – e.g., “base type” of proper noun ...
Feb. 27-- Experimental design
... Can a variable be both a mediator and a moderator at the same time? Are there variables that are always going to be one or the other? Does a mediator have to be correlational? Remember that one study does not a ...
... Can a variable be both a mediator and a moderator at the same time? Are there variables that are always going to be one or the other? Does a mediator have to be correlational? Remember that one study does not a ...
Parameter Priors for Directed Acyclic Graphical Models
... n-tuple) and xi is a value for Xi. When xi has no incoming arcs in m (no parents), p(xi(paT)stands for p(xi). The local distributions are the n conditional and marginal probability distributions that constitute the factorization of p(x). Each such distribution belongs to the specified family of allo ...
... n-tuple) and xi is a value for Xi. When xi has no incoming arcs in m (no parents), p(xi(paT)stands for p(xi). The local distributions are the n conditional and marginal probability distributions that constitute the factorization of p(x). Each such distribution belongs to the specified family of allo ...
Step Up To: Psychology
... • C) ignored what the model said and both talked and acted in ways consistent with what the model did. • D) said what the model said and did what the model did. ...
... • C) ignored what the model said and both talked and acted in ways consistent with what the model did. • D) said what the model said and did what the model did. ...
Determining the number of model runs: Treating cognitive models as
... predictions. This advice is derived from power calculations. One paradigm in which this heuristic guidance can be applied is when a model is constructed to perform and make predictions about some human task. Although this seems like a narrow topic to explain to a general simulation audience, the num ...
... predictions. This advice is derived from power calculations. One paradigm in which this heuristic guidance can be applied is when a model is constructed to perform and make predictions about some human task. Although this seems like a narrow topic to explain to a general simulation audience, the num ...
On Line Isolated Characters Recognition Using Dynamic Bayesian
... training data. The representation of knowledge bases on description, by graphs, relations of causality existing between the variables defining the field of study. The theory of Dynamic Bayesian Networks is a generalization of the Bayesians Networks to the dynamic processes. Our objective amounts fin ...
... training data. The representation of knowledge bases on description, by graphs, relations of causality existing between the variables defining the field of study. The theory of Dynamic Bayesian Networks is a generalization of the Bayesians Networks to the dynamic processes. Our objective amounts fin ...
Modeling - AICE Psychology
... Social Learning Theory (Bandura, 1961) • Premise that learning occurs through (a) the interaction with other people and (b) through the use of observation and modeling ▫ Observational learning = learning by observing others ▫ Modeling = the process of observing and imitating a specific behavior ▫ I ...
... Social Learning Theory (Bandura, 1961) • Premise that learning occurs through (a) the interaction with other people and (b) through the use of observation and modeling ▫ Observational learning = learning by observing others ▫ Modeling = the process of observing and imitating a specific behavior ▫ I ...
powerpoint
... Social Learning Theory (Bandura, 1961) • Premise that learning occurs through (a) the interaction with other people and (b) through the use of observation and modeling ▫ Observational learning = learning by observing others ▫ Modeling = the process of observing and imitating a specific behavior ▫ I ...
... Social Learning Theory (Bandura, 1961) • Premise that learning occurs through (a) the interaction with other people and (b) through the use of observation and modeling ▫ Observational learning = learning by observing others ▫ Modeling = the process of observing and imitating a specific behavior ▫ I ...
modeling dynamical systems by means of dynamic bayesian networks
... see, now the value of the Allegry variable depends not only on Hereditary factor and Early exposure but also on its value from previous time step. As mentioned before, the state at time t generally depends on the states at previous k = 1 time steps. There is nothing in the theory that prevents k fro ...
... see, now the value of the Allegry variable depends not only on Hereditary factor and Early exposure but also on its value from previous time step. As mentioned before, the state at time t generally depends on the states at previous k = 1 time steps. There is nothing in the theory that prevents k fro ...
Research Methods - psych
... The final step is to report the findings to others who may be interested in the research ...
... The final step is to report the findings to others who may be interested in the research ...
Model Checking of Hybrid Systems via Satisfiability Modulo Theories
... The (combinational) backends are SMT solvers, that can be seen as a tight integration of SAT (to deal with the boolean reasoning) with dedicated constraints solvers (to deal with theory reasoning). The algorithms for reasoning about hybrid systems are able to carry out various forms of reachability ...
... The (combinational) backends are SMT solvers, that can be seen as a tight integration of SAT (to deal with the boolean reasoning) with dedicated constraints solvers (to deal with theory reasoning). The algorithms for reasoning about hybrid systems are able to carry out various forms of reachability ...
An Overview of First-Order Model Counting
... Consider a randomly shuffled deck of 52 playing cards. Suppose that we are dealt the top card, and we want to answer: what is the probability that we get hearts? When the dealer reveals that the bottom card is black, how does our probability change? Basic statistics says it increases from 1/4 to 13/ ...
... Consider a randomly shuffled deck of 52 playing cards. Suppose that we are dealt the top card, and we want to answer: what is the probability that we get hearts? When the dealer reveals that the bottom card is black, how does our probability change? Basic statistics says it increases from 1/4 to 13/ ...
Exit, Voice, Loyalty, and Neglect as Responses to Job Dissatisfaction
... theoretical categories. These categories are tentatively labeled exit, voice, loyalty, and neglect (EVLN). These four response models are described by two conceptual dimensions-active/passive and constructive/destructive. Taken as a group, these findings indicate that job dissatisfaction respons ...
... theoretical categories. These categories are tentatively labeled exit, voice, loyalty, and neglect (EVLN). These four response models are described by two conceptual dimensions-active/passive and constructive/destructive. Taken as a group, these findings indicate that job dissatisfaction respons ...
Advances in the Understanding and Use of Conditional Independence
... computation, and they are satisfied in a broad range of problems. But there remains a bewildering array of closely similar problems that do not quite satisfy the Shafer-Shenoy axioms. Moreover—and this is the issue addressed in the paper by Lauritzen and Jensen—these axioms, while they suffice to as ...
... computation, and they are satisfied in a broad range of problems. But there remains a bewildering array of closely similar problems that do not quite satisfy the Shafer-Shenoy axioms. Moreover—and this is the issue addressed in the paper by Lauritzen and Jensen—these axioms, while they suffice to as ...
Dynamics of Love and Happiness: A Mathematical Analysis
... partner [1]. These feelings vary from person to person and from time to time. Everyone has these feelings in their hearts but the ratio or percentage differs. It is clear that the feeling in human varies according to different conditions, which are not easy to study mathematically. For it different ...
... partner [1]. These feelings vary from person to person and from time to time. Everyone has these feelings in their hearts but the ratio or percentage differs. It is clear that the feeling in human varies according to different conditions, which are not easy to study mathematically. For it different ...
Structural equation modeling
Structural equation modeling (SEM) is a family of statistical methods designed to test a conceptual or theoretical model. Some common SEM methods include confirmatory factor analysis, path analysis, and latent growth modeling. The term ""structural equation model"" most commonly refers to a combination of two things: a ""measurement model"" that defines latent variables using one or more observed variables, and a ""structural regression model"" that links latent variables together. The parts of a structural equation model are linked to one another using a system of simultaneous regression equations.SEM is widely used in the social sciences because of its ability to isolate observational error from measurement of latent variables. To provide a simple example, the concept of human intelligence cannot be measured directly as one could measure height or weight. Instead, psychologists develop theories of intelligence and write measurement instruments with items (questions) designed to measure intelligence according to their theory. They would then use SEM to test their theory using data gathered from people who took their intelligence test. With SEM, ""intelligence"" would be the latent variable and the test items would be the observed variables.A simplistic model suggesting that intelligence (as measured by five questions) can predict academic performance (as measured by SAT, ACT, and high school GPA) is shown below. In SEM diagrams, latent variables are commonly shown as ovals and observed variables as rectangles. The below diagram shows how error (e) influences each intelligence question and the SAT, ACT, and GPA scores, but does not influence the latent variables. SEM provides numerical estimates for each of the parameters (arrows) in the model to indicate the strength of the relationships. Thus, in addition to testing the overall theory, SEM therefore allows the researcher to diagnose which observed variables are good indicators of the latent variables.Modern studies usually test much more specific models involving several theories, for example, Jansen, Scherer, and Schroeders (2015) studied how students' self-concept and self-efficacy affected educational outcomes. SEM is also used in the sciences, business, education, and many other fields.