Search results for " Selection"
showing 10 items of 1271 documents
Diversity in search strategies for ensemble feature selection
2005
Ensembles of learnt models constitute one of the main current directions in machine learning and data mining. Ensembles allow us to achieve higher accuracy, which is often not achievable with single models. It was shown theoretically and experimentally that in order for an ensemble to be effective, it should consist of base classifiers that have diversity in their predictions. One technique, which proved to be effective for constructing an ensemble of diverse base classifiers, is the use of different feature subsets, or so-called ensemble feature selection. Many ensemble feature selection strategies incorporate diversity as an objective in the search for the best collection of feature subse…
<title>Distance functions in dynamic integration of data mining techniques</title>
2000
One of the most important directions in the improvement of data mining and knowledge discovery is the integration of multiple data mining techniques. An integration method needs to be able either to evaluate and select the most appropriate data mining technique or to combine two or more techniques efficiently. A recent integration method for the dynamic integration of multiple data mining techniques is based on the assumption that each of the data mining techniques is the best one inside a certain subarea of the whole domain area. This method uses an instance-based learning approach to collect information about the competence areas of the mining techniques and applies a distance function to…
Quality based classification of gasoline samples by ATR-FTIR spectrometry using spectral feature selection with quadratic discriminant analysis
2013
Abstract A chemometric approach has been developed for characterization of gasoline samples regarding their quality. Attenuated total reflectance – infrared spectrometric data were processed by genetic algorithm (GA) and successive projection algorithm (SPA) feature selection techniques, being employed as an initial step prior to apply a discriminative tool. It was aimed to classify the fuel samples according to their quality passed/failed data. Chemometric predictive procedures were developed using quadratic discriminant analysis (QDA) combined with GA and SPA as a feature subset and feature selection strategy. Results showed 93.3% and 95.6% accuracy for SPA-QDA and GA-QDA models respectiv…
The socio-economic and communication challenges of spent nuclear fuel management in Finland
2010
Abstract One of the key factors behind the expansion of nuclear energy policy in Finland is nuclear waste management. As in many countries, nuclear waste management agencies are still struggling with the siting of intermediate and low level nuclear waste management facilities, in Finland Posiva, the nuclear waste company owned by the two nuclear power utilities Teollisuuden Voima (TVO) and Fortum Power and Heat (FPH), has been excavating a underground characterization facility since 2004 in the Olkiluoto site in the municipality of Eurajoki. The facility under construction is meant to be for a part of the final repository for disposal of spent nuclear fuel (SNF). The site selection process …
For Whom is MAI? A Theoretical Perspective on Multilateral Agreements on Investments
2001
Why do we observe some LDCs objecting the prospect of a Multilateral Agreement on Investment (MAI), although they have been keen to liberalize investment in preferential agreements in recent years? In this paper, we analyse the issue of MAI implementation and assess the welfare consequences of such kind of agreements. In our model, participation to MAI involves a trade-off between less rent extraction from multinational firms (MNEs) and more abundant FDI inflows. At equilibrium, either all countries enter MAI, or all countries stay out, or only some of them enter. Coordination problems may induce multiple equilibria: the three typesof equilibria may coexist. So, the implementation of MAI ma…
Intratumoral Heterogeneity, Its Contribution to Therapy Resistance and Methodological Caveats to Assessment
2014
Cancer is one of the most urgent health issues of today. According to WHO, the number of cancer cases is expected to increase by 75% in the next two decades (1). Despite some remarkable achievements in the fields of cancer prevention and early detection, the goal of developing effective anti-cancer therapies still remains unmet. Tumor recurrence due to treatment resistance is the most common cause of death from cancer. Delineating cellular and molecular mechanisms underlying tumor recurrence is of prime importance for the ability to improve the efficacy of existing therapies and develop new strategies to cancer treatment.
Analyse spectrale et texturale de données à haute résolution pour la détection automatique des maladies de la vigne
2019
‘Flavescence dorée’ is a contagious and incurable disease present on the vine leaves. In order to contain the infection, the regulations require growers to control each of the vine rows and to remove the suspect vine plants. This monitoring is done on foot during the harvest and mobilizes many people during a strategic period for viticulture. In order to solve this problem, the DAMAV project (Automatic detection of Vine Diseases) aims to develop a solution for automated detection of vine diseases using a micro-drone. The goal is to offer a turnkey solution for wine growers. This tool will allow the search for potential foci, and then more generally any type of vine diseases detectable on th…
Causation and Effectuation in the Foreign Market Entry and Selection of Software SMEs
2012
Current research emphasizes several factors impacting on SME internationalization. However, it remains unclear that how entrepreneurs in SMEs think and implement their internationalization and select target countries for foreign operations. In this qualitative case study, foreign market selection and entries of five Finnish software firms are analyzed by using the theory of causation and effectuation. The findings imply that software SMEs used more causation logic in their foreign market selection and effectuation logic in their foreign market entries. The case firms that followed causation logic in FMS entered more distant countries. peerReviewed
Spatial Memory Drives Foraging Strategies of Wolves, but in Highly Individual Ways
2022
The ability of wild animals to navigate and survive in complex and dynamic environments depends on their ability to store relevant information and place it in a spatial context. Despite the centrality of spatial memory, and given our increasing ability to observe animal movements in the wild, it is perhaps surprising how difficult it is to demonstrate spatial memory empirically. We present a cognitive analysis of movements of several wolves (Canis lupus) in Finland during a summer period of intensive hunting and den-centered pup-rearing. We tracked several wolves in the field by visiting nearly all GPS locations outside the den, allowing us to identify the species, location and timing of ne…
Phylogeny, epidemiology and microhabitat preferences of lungworms (Pseudaliidae) in cetaceans from teh Western Mediterranean
2023
A pesar de tener una cierta reputación negativa, los parásitos pueden ofrecer una información importante sobre sus hospedadores, habiendo sido reconocidos como herramientas valiosas en varios estudios que investigan el comportamiento (Balbuena y Raga 1991), la salud (Aznar et al. 2005; Gkafas et al. 2020), la dieta (Dailey y Otto 1982), la migración (Ten et al. 2022), la estructura social (Balbuena et al. 1995) o la discriminación de stocks de cetáceos (Aznar et al. 1995). Los helmintos que parasitan a los cetáceos se pueden separar en cuatro grupos distintos: acantocéfalos (20 spp.), cestodos (38 spp.), digeneos (54 spp.) y nematodos (62 spp.). De éstos, los nematodos son los más diversos …