Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 787 for “"weighting"”.
-
Weighting Components of Job Satisfaction
Made available in DSpace on 2014-12-08T23:01:22Z (GMT). No. of bitstreams: 1 6604172.pdf: 5733301 bytes, checksum: 32d058048e3f7aeacd59064d98018a3b (MD5) Previous issue date: 1965
-
Example weighting for deep representation learning
… function can be considered to provide a weighting scheme from the viewpoint of example weighting. Therefore, example weighting is universal in deep learning. Partially arising from the recent work on the risky memorisation behaviours of deep neural networks (Arpit et al., 2017; Zhang et …
-
Prosodic cue weighting in sentence comprehension
… eines sprachspezifischen prosodischen cue weightings ausdrückt. Für das Deutsche ist allerdings nicht hinreichend bekannt, welche dieser drei phonetischen Parameter die wichtigste Rolle für die Perzeption der phonologischen Phrasengrenze und der Intonationsphrasengrenze spielt. Ziel der …
-
Weighting components of type in classifying Holsteins
Thesis (M.S.)--Michigan State University. Dept. of Dairy, 1967
-
Perception and Action Weighting in Memory Representations
… findings of the studies suggested that weighting an off-line memory representation by means of the task setting was possible, but that this was not an automatic occurrence. Based on the results obtained, it seemed that there were conditions which would affect whether memories could be …
-
Investigation and Comparison of Alternative Weighting Systems
Made available in DSpace on 2014-12-13T18:22:04Z (GMT). No. of bitstreams: 1 7913454.pdf: 4847404 bytes, checksum: 290b6e3ee6c9afe7f8e927015e28048a (MD5) Previous issue date: 1978
-
Weighting and moment conditions in Bayesian inference
… including those that involve inverse probability weighting. Our approach showcases some key strengths of the Bayesian paradigm---namely, the marginalization of nuisance parameters, and the availability of sophisticated computational techniques from the MCMC literature. We analyse data from the …
-
The Optimal Weighting of Pre-Election Polling Data
Pre-election polls are used to test the political landscape and predict election results. The relative weights for the state-level data from the 2006 U.S. senatorial races are considered based on the date on which the polls were conducted. Long- and short-memory weight functions are developed to …
-
Simplicity and Probability Weighting in Choice Under Risk
This is a reprint of work published in the American Economic Review: Papers and Proceedings during the degree.
-
Statistical weighting for age of advanced registry cows
… data with a view of determining the correct age weighting for comparison of different animals for milk and fat production.
-
Longwall weighting events at Phalen Colliery, Nova Scotia, Canada
Weightings are dynamic phenomenon observed in mines where coal is extracted using the longwall mining method. Weightings are characterized by high convergence rates within the powered supports which maintain roof stability along the longwall face. Rapid convergence is induced by ground pressures …
-
k-Label Dependent Evolutionary Distance Weighting for Software Defect Prediction
… SDP models often depend on static feature-weighting approaches that cannot be adjusted to the particularities of different data sets. Existing model address some of these challenges, but lack interpretability or prediction accuracy. This research addresses the limitations of existing models …
-
Applying Weighting Biases in Cognitive Energetics Theory to Behavior Change
… and negative aspects of goal pursuit, (2) CET weighting biases (i.e., increased sensitivity to either driving or restraining forces in CET based on positivity and negativity latent factors) and (3) the extent to which weighting biases affect sensitivity to CET-based messaging aimed at …
-
New Weighting Schemes for Document Ranking and Ranked Query Suggestion
Term weighting is a process of scoring and ranking a term’s relevance to a user’s information need or the importance of a term to a document. This thesis aims to investigate novel term weighting methods with applications in document representation for text classification, web document ranking, and …
-
Surface acoustic wave single-phase unidirectional transducers and phase weighting
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1985.
-
Quality control operating procedures for multiple quality characteristics and weighting factors
This research is devoted to the development of a procedure for manufacturing use that applies to cases involving a manufactured item having more than one quality characteristic and continuous measurements of these characteristics. There are two phases in this procedure. The first phase consists of …
-
Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping
Ubiquitous computing environments provide multitudes of technologies seamlessly augmented with physical systems to aid users in everyday tasks. In order for these systems to be pervasive and yet imperceptible to the user, they must maintain the location of users, devices, and resources within the …
Page 1 of 40