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Hittade 3 uppsatser som matchar ovanstående sökkriterier.

1. 1. Statistical Modeling of Dynamic Risk in Security Systems

   Master-uppsats, KTH/Matematisk statistik

   Författare :Gurpreet Singh; [2020]
   Nyckelord :Statistics; applied mathematics; machine learning; forecasting; neural networks; logistic regression; resampling; classifier chains; binary relevance; Statistik; tillämpad matematik; maskininlärning; neurala nätverk; logistisk regression;

   Sammanfattning : Big data has been used regularly in finance and business to build forecasting models. It is, however, a relatively new concept in the security industry. This study predicts technology related alarm codes that will sound in the coming 7 days at location $L$ by observing the past 7 days. LÄS MER

3. 2. Ordering Classifier Chains using filter model feature selection techniques

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

   Författare :Robin Gustafsson; [2017]
   Nyckelord :multi-label classification; classifier chain; label dependence;

   Sammanfattning : Context: Multi-label classification concerns classification with multi-dimensional output. The Classifier Chain breaks the multi-label problem into multiple binary classification problems, chaining the classifiers to exploit dependencies between labels. Consequently, its performance is influenced by the chain's order. LÄS MER

4. 3. MLID : A multilabelextension of the ID3 algorithm

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Henrik Starefors; Rasmus Persson; [2016]
   Nyckelord :ID3; Multilabel; Machine learning;

   Sammanfattning : AbstractMachine learning is a subfield within artificial intelligence that revolves around constructingalgorithms that can learn from, and make predictions on data. Instead of following strict andstatic instruction, the system operates by adapting and learning from input data in order tomake predictions and decisions. LÄS MER