The Learning-Curve Sampling Method Applied to Model-Based Clustering
- Statistical evaluation of learning curve effects in surgical trials. Cook, Jonathan A.; Ramsay, Craig R.; Fayers, Peter // Clinical Trials;2004, Vol. 1 Issue 5, p421
Randomized controlled trials (RCTs) in surgery have been impeded by concerns that improvements in the technical performance of a new technique over time (a "learning curve") may distort comparisons. The statistical assessment of learning curves in trials has received little attention. In this...
- Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network. Zouari, Farouk; Ben Saad, Kamel; Benrejeb, Mohamed // Journal of Software Engineering & Applications;Mar2012, Vol. 5 Issue 3, p168
This work concerns the study of problems relating to the adaptive internal model control of DC motor in both cases conventional and neural. The most important aspects of design building blocks of adaptive internal model control are the choice of architectures, learning algorithms, and examples...
- Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs. Urry, Matthew J.; Sollich, Peter // Journal of Machine Learning Research;Jul2013, Vol. 14 Issue 7, p1801
We consider learning on graphs, guided by kernels that encode similarity between vertices. Our focus is on random walk kernels, the analogues of squared exponential kernels in Euclidean spaces. We show that on large, locally treelike graphs these have some counter-intuitive properties,...
- The learning curve and production standards: Learning implications. Briscoe, Nat R.; Roark, Stephen // Review of Business;Spring91, Vol. 12 Issue 4, p31
Examines the components of the learning curve model from a behavioral perspective. Historical recognition of learning; Example of learning effects on output; Areas of learning examined including preproduction learning; Intratask learning; Interaction effects; Achieving an atmosphere of learning.
- A Bayesian approach to managing learning-curve uncertainty. Mazzola, Joseph B.; McCardle, Kevin F. // Management Science;May96, Vol. 42 Issue 5, p680
This paper introduces a Bayesian decision theoretic model of optimal production in the presence of learning-curve uncertainty. The well-known learning-curve model is extended to allow for random variation in the learning process with uncertainty regarding some parameter of the variation. A...
- Boom, Bust, and Failures to Learn in Experimental Markets. Paich, Mark; Sterman, John D. // Management Science;Dec1993, Vol. 39 Issue 12, p1439
Boom and bust is a pervasive dynamic for new products. Word of mouth, marketing, and learning curve effects can fuel rapid growth, often leading to overcapacity, price war, and bankruptcy. Previous experiments suggest such dysfunctional behavior can be caused by systematic "misperceptions of...
- Claim Evaluation for Combined Effect of Multiple Claim Factors. Singh, Amarjit // Cost Engineering;Dec2001, Vol. 43 Issue 12, p13
Presents a problem in engineering where multiple claim factors occur simultaneously, and offers an integrated and comprehensive solution when all claims factors are present together. Analysis of the problem; Application of learning curve equation; Evaluation with overstaffing and overtime.
- Learning Equivalence Classes of Bayesian-Network Structures. Chickering, David Maxwell // Journal of Machine Learning Research;Summer2002, Vol. 2 Issue 3, p445
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions that can be represented with the other. Many scoring criteria that are used to learn Bayesian-network structures...
- Learning curves concept(Letter). Aberdeen, M. E. // Accountancy;Jun76, Vol. 87 Issue 994, p17
A letter to the editor is presented about learning curves.