Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning.
Pedram AdibiFabio PranoviAlessandra RaffaetàElisabetta RussoClaudio SilvestriMarta SimeoniAmílcar Soares JúniorStan MatwinPublished in: MASTER@PKDD/ECML (2019)
Keyphrases
- machine learning
- natural language
- textual entailment
- machine learning algorithms
- learning algorithm
- explanation based learning
- computer vision
- moving objects
- information extraction
- semantic information
- artificial intelligence
- machine learning approaches
- semantic analysis
- decision trees
- machine learning methods
- learning systems
- semantic knowledge
- inductive learning
- learning problems
- learning tasks
- neural network
- text classification
- domain specific
- text mining
- data mining
- knowledge acquisition
- feature selection
- inductive logic programming
- plays a vital role
- data sets
- semantically meaningful
- semantic search
- information retrieval
- semantic relationships
- search engine
- data analysis
- low level features
- semantic annotation
- spatio temporal
- active learning
- supervised learning
- semantic web