portable document (.pdf) format
... The R program reports, “fitted probabilities numerically 0 or 1 occurred in:____, which is not to say that the observed responses for a variable were all 0‟s or 1‟s. Stata actually eliminates variables under complete separation to produce a solution and fails to provide any estimates under quasi-com ...
... The R program reports, “fitted probabilities numerically 0 or 1 occurred in:____, which is not to say that the observed responses for a variable were all 0‟s or 1‟s. Stata actually eliminates variables under complete separation to produce a solution and fails to provide any estimates under quasi-com ...
“Congruent” and “Opposite” Neurons: Sisters for Multisensory
... number. One is “congruent" cells, whose preferred heading directions are similar in response to visual and vestibular cues; and the other is “opposite" cells, whose preferred heading directions are nearly “opposite" (with an offset of 180◦ ) in response to visual vs. vestibular cues. Congruent neuro ...
... number. One is “congruent" cells, whose preferred heading directions are similar in response to visual and vestibular cues; and the other is “opposite" cells, whose preferred heading directions are nearly “opposite" (with an offset of 180◦ ) in response to visual vs. vestibular cues. Congruent neuro ...
Spatiotemporal Properties of Eye Position Signals
... ms after saccades. The Hit rate represented proportion of data in the Test distribution that exceeded a given criterion, and the False-Alarm rate represented proportion in the Baseline distribution exceeding the same criterion. The level of the criterion varied from zero to a maximal value in distri ...
... ms after saccades. The Hit rate represented proportion of data in the Test distribution that exceeded a given criterion, and the False-Alarm rate represented proportion in the Baseline distribution exceeding the same criterion. The level of the criterion varied from zero to a maximal value in distri ...
Signals Conveyed in the Pulvinar Pathway from Superior Colliculus
... using stimulation currents of 600 A (for additional details, see Berman of neurons were also tested with a modified fixation task for rapidly and Wurtz, 2010). If stimulation activated the neuron through the synmapping receptive field (RF) structure. We report on a variable number apse (orthodromic ...
... using stimulation currents of 600 A (for additional details, see Berman of neurons were also tested with a modified fixation task for rapidly and Wurtz, 2010). If stimulation activated the neuron through the synmapping receptive field (RF) structure. We report on a variable number apse (orthodromic ...
link - Worcester Polytechnic Institute
... In this dissertation, several approaches I have taken to model student learning using Bayesian Networks are described. There are two focuses of this dissertation. The first focus is on improving the accuracy with which future student performance can be predicted. The second focus is to predict how d ...
... In this dissertation, several approaches I have taken to model student learning using Bayesian Networks are described. There are two focuses of this dissertation. The first focus is on improving the accuracy with which future student performance can be predicted. The second focus is to predict how d ...
Improving Efficiency in Mobile Robot Task Planning through World
... planners that use abstraction in some way to reduce computational cost are commonly called hierarchical planners. A hierarchical planner first solves a problem in a simpler abstract domain2 and then refines the abstract solution, inserting details that were ignored in the more abstract domain. This ...
... planners that use abstraction in some way to reduce computational cost are commonly called hierarchical planners. A hierarchical planner first solves a problem in a simpler abstract domain2 and then refines the abstract solution, inserting details that were ignored in the more abstract domain. This ...
Program - Association for the Advancement of Artificial Intelligence
... (please see schedule for detail). In addition, a total of 29 technical demos will be divided among the three evening sessions. Sunday evening will also include Doctoral Consortium and EAAI posters. Monday evening will include posters by student abstract authors. For a listing of posters and exhibits ...
... (please see schedule for detail). In addition, a total of 29 technical demos will be divided among the three evening sessions. Sunday evening will also include Doctoral Consortium and EAAI posters. Monday evening will include posters by student abstract authors. For a listing of posters and exhibits ...
NIH Public Access - Department of Biochemistry | UW
... the respective sampling models. A closely related concept, distribution equivalence, states that two models are distribution equivalent if one is a reparametrization of the other. While likelihood equivalence is defined in terms of predictive densities (prior predictive density or sampling model eva ...
... the respective sampling models. A closely related concept, distribution equivalence, states that two models are distribution equivalent if one is a reparametrization of the other. While likelihood equivalence is defined in terms of predictive densities (prior predictive density or sampling model eva ...
Uncertainty reasoning and representation: A
... Rochester Institute of Technology Department of Computer Science ...
... Rochester Institute of Technology Department of Computer Science ...
Modeling Context-Dependent Faults for Diagnosis 1
... mode transitions to adequately capture the intermediate state(s) induced by the system behavior. For example, assume that M1 can transit from the ok mode into shorted only if i0 > 0. Since the latter implies broken(F ) ∧ i0 = 0, the necessary transient state where ok(F ) ∧ shorted(M1 ) ∧ i0 > 0 cann ...
... mode transitions to adequately capture the intermediate state(s) induced by the system behavior. For example, assume that M1 can transit from the ok mode into shorted only if i0 > 0. Since the latter implies broken(F ) ∧ i0 = 0, the necessary transient state where ok(F ) ∧ shorted(M1 ) ∧ i0 > 0 cann ...
Solving Large Markov Decision Processes (depth paper)
... or function) schemata and action schemata defined over object classes instead of using explicit states and actions. This representation not only makes it possible to describe large state-space problems, but is also capable of specifying similar decision-making problems (related MDPs) by using one si ...
... or function) schemata and action schemata defined over object classes instead of using explicit states and actions. This representation not only makes it possible to describe large state-space problems, but is also capable of specifying similar decision-making problems (related MDPs) by using one si ...
Integrating Planning, Execution and Learning to Improve Plan
... the-shelf spirit of the architecture allows pela to acquire other useful execution information, such as the actions durations (Lanchas et al., 2007). 3.1. Learning rules about the actions performance For each action a ∈ A, pela learns a model of the performance of a in terms of these three classes: ...
... the-shelf spirit of the architecture allows pela to acquire other useful execution information, such as the actions durations (Lanchas et al., 2007). 3.1. Learning rules about the actions performance For each action a ∈ A, pela learns a model of the performance of a in terms of these three classes: ...
sv-lncs
... GLARE does not support temporal abstractions to abstract conditions that persist over time, based on raw, time-stamped values; it is possible to define new abstract terms, but these definitions are not based on formal expressions regarding patient data and/or other concepts (e.g. the user-physician ...
... GLARE does not support temporal abstractions to abstract conditions that persist over time, based on raw, time-stamped values; it is possible to define new abstract terms, but these definitions are not based on formal expressions regarding patient data and/or other concepts (e.g. the user-physician ...
Blackwell Guide to the Philosophy of Computing and
... through computational models. Despite these similarities, there is an important difference between the modeling strategies artificial intelligence and artificial life typically employ. Most traditional AI models are top-down-specified serial systems involving a complicated, centralized controller th ...
... through computational models. Despite these similarities, there is an important difference between the modeling strategies artificial intelligence and artificial life typically employ. Most traditional AI models are top-down-specified serial systems involving a complicated, centralized controller th ...
SYNAPTIC ENERGY DRIVES THE INFORMATION PROCESSING
... the synapse is able to operate at a specific discretely defined state of activity as pointed out in the above cited papers, these findings raise questions about the energy related aspects of such behavior. Specifically, they call for investigating the kind of contribution attributed to the synapses ...
... the synapse is able to operate at a specific discretely defined state of activity as pointed out in the above cited papers, these findings raise questions about the energy related aspects of such behavior. Specifically, they call for investigating the kind of contribution attributed to the synapses ...
Feature Selection Using Fuzzy Objective Functions
... IFSA-EUSFLAT 2009 other nonlinear modeling techniques. In general, fuzzy models can provide a more transparent model and can also give a linguistic interpretation in the form of rules, which is appealing when dealing with classification systems. Fuzzy models use rules and logical connectives to est ...
... IFSA-EUSFLAT 2009 other nonlinear modeling techniques. In general, fuzzy models can provide a more transparent model and can also give a linguistic interpretation in the form of rules, which is appealing when dealing with classification systems. Fuzzy models use rules and logical connectives to est ...
Calibration by correlation using metric embedding from non
... Grossmann et. al. assume to know the function f , obtained with a separate calibration phase, by using a sensor with known intrinsic calibration experiencing the same scene as the camera being calibrated. Therefore, using the knowledge of f , one can recover the distances from the similarities: d(si ...
... Grossmann et. al. assume to know the function f , obtained with a separate calibration phase, by using a sensor with known intrinsic calibration experiencing the same scene as the camera being calibrated. Therefore, using the knowledge of f , one can recover the distances from the similarities: d(si ...
