Approaches to the Optimization for Output Prediction
Evolutionary approaches for portfolio optimization
... Portfolio optimization involves the optimal assignment of limited cap- ital to different available financial assets to achieve a reasonable trade- off between profit and risk ...exact optimization ...
255
Prediction of Maximum Oil-Film Pressure in Journal Bearing using Fuzzy Logic and Particle Swam Optimization approaches
... Valkonen, 2010), experimental investigations were performed based on one-factor -at-a-time procedure to discuss the development of pressure profiles in the oil-film of slide journal bearing. These studies revealed that ...
10
Optimization and Prediction Approaches for Flexible Routing in Dynamic Environment FMS
... production with entire range of parts. FMS typically operate at 70–80% utilization, which is more than three times higher than the utilization of traditional machines that can operate with as low as 20% utilization [2]. ...
9
Heuristic Approaches to Portfolio Optimization.
... in optimization problem corresponds to the free energy of the ...an optimization problem, the temperature just serves as a control parameter that has to be properly determined and continuously adjusted, ...
278
Optimization Approaches to Adaptive Menus
... 50 5.3.2 Test case II: Theme Pokémon Pokémon game has been a childhood dream for many of us, in fact, some of us still actively play it every day. Pokémon is designed and published by Nintendo® back in the 90s. It is a ...
90
Multifidelity approaches for optimization under uncertainty
... few optimization iterations, when the optimizer takes relative large steps in the design space, the combined estimator takes about the same computational effort as the multi- fidelity estimator; at the last few ...
27
New approaches to multi-objective optimization
... In more detail, we obtain the following main results: Using iterative rounding for the first time in multi-objective optimization, we obtain multi-criteria PTASs which slightly violate t[r] ...
30
Distributed Control Approaches to Network Optimization
... Firstly, we will study social networks as a means of obtaining information about a system. They are increasingly seen as a means of obtaining awareness of user pref- erences. Such awareness could be used to target goods ...
91
Statistical mechanics approaches to optimization and inference
... combinatorial optimization problems and statistical physics has been made in [8] and typically it is stated as ...combinatorial optimization problem consists in finding a particular state or configuration ...
152
Magic Moments for Structured Output Prediction
... proposed approaches in comparison with other DLAs such as CRFs, hidden Markov perceptron (HMP) and a MM method with Hamming loss (SVM-struct implementation Tsochantaridis et ...
44
Towards structured output prediction of enzyme function
... above approaches in that we are interested in predicting the membership of enzymes in the whole ...the prediction problem is to output for each concept in the taxonomy whether the pro- tein belongs ...
10
Algorithm-Based Output Phase Optimization for PLA's
... logic optimization and naive approach. This to solve the output phase assignment problem is to generate all 2 m possibleassignments form output functions, obtain a minimized PLA for each assignment ...
7
Interactive structured output prediction: Application to chromosome classification
... In this work we consider the problem of karyotype recognition and we explore IPR approaches to increase the productivity with respect to a traditional, non interactive or “offline” PR approach. In order to focus ...
10
Non-parametric Bayesian models for structured output prediction
... Salvatier, J., Wiecki, T. V., and Fonnesbeck, C. (2016). Probabilistic programming in Python using PyMC3. PeerJ Computer Science, 2:e55. (cited p. 130) Sandve, G. K., Nekrutenko, A., Taylor, J., Hovig, E., Crocker, J., ...
186
Mathematical Approaches to Infectious Disease Prediction and Control
... systematic optimization of disease control strategies, that is, finding the optimal demographic, spatial and temporal distribution of costly public health ...simulation optimization techniques [ 6 ...
30
Prediction and Optimization of Weld Bead Geometry
... different approaches and modeling techniques would be discussed that has been used in the past for analyzing and predicting weld bead geometry with respect to given ...
8
Generative models for codon prediction and optimization
... We compute the Spearman rank correlation between the MFE of target sequences and MFE of model-generated se- quences with the true sequences in the test set (Table 3). In addition, we report the codon level accuracy of ...
6
Structured Prediction via Output Space Search
... structured prediction work has focused on the use of exact (when possible) or approximate inference techniques, such as loopy belief propagation and relaxation methods, for computing ...learning approaches ...
34
Machine learning approaches for epitope prediction
... MHC-I prediction method that outper- forms other methods consistently on every MHC-I allele data ...existing prediction tools, users are recommended to submit their query sequence to more than one ...
180
Some Approaches for Software Defect Prediction
... defect prediction approaches can help focus quality assurance activities on the most defect-prone code and allocate additional resources to fix critical ...
36