Sökning: "Cart"
Visar resultat 1 - 5 av 111 uppsatser innehållade ordet Cart.
1. Decision Trees for Classification of Repeated Measurements
Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER
2. Value Relevance of Capitalized Intangibles
C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringSammanfattning : This study aims to examine the value relevance of different accounting treatments of intangibles. We investigate the immediate expensing of intangible investments in Research and Development (R&D) and Selling, General, and Administrative (SG&A) and, by using methods that attempt to adjust financial statements, we investigate if capitalizing these investments results in a measure with higher value relevance. LÄS MER
3. Development of osmo- and appetite regulation during transfer of smolt from freshwater to increasing salinities
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : Atlantic salmon (Salmo salar) is common in Scandinavian aquaculture and must be transferred from freshwater to seawater to grow properly. Despite being assessed as ready smolts, meaning they have gone through the physiological changes to prepare for SW transfer, the transfer result in a mortality rate of around 13-19%, and significant appetite- and growth reductions. LÄS MER
4. On the strategic abilities gained by using knowledge-based strategies for multi-agent teams playing against nature
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Analogous to how the Knowledge-Based Subset Construct (KBSC) can transform games of imperfect information against nature into games of perfect information, making it easier to find winning strategies for objectives in these games, the multi-agent knowledge-based subset construct (MKBSC) can be used to find winning strategies in multi-agent games of imperfect information. The difference between the two algorithms is that the generalized version can be applied multiple times, which is interpreted as the agent’s considering not just their own knowledge of the game, but also their knowledge of the other agents, and the knowledge of the other agent’s knowledge about their own knowledge, etc. LÄS MER
5. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. LÄS MER