Distributed forests for MapReduce-based machine learning.
Ryoji WakayamaRyuei MurataAkisato KimuraTakayoshi YamashitaYuji YamauchiHironobu FujiyoshiPublished in: ACPR (2015)
Keyphrases
- machine learning
- distributed processing
- distributed systems
- cooperative
- distributed computing
- information extraction
- computer vision
- reinforcement learning
- artificial intelligence
- cloud computing
- machine learning methods
- distributed environment
- data mining
- pattern recognition
- distributed network
- explanation based learning
- machine learning approaches
- knowledge representation
- distributed data
- communication overhead
- communication cost
- random forest
- knowledge acquisition
- machine learning algorithms
- supervised classification
- learning algorithm
- fault tolerant
- mapreduce framework
- learning systems
- lightweight
- text classification
- computational intelligence
- natural language processing
- support vector machine
- knowledge discovery
- active learning
- query processing
- computer science
- data streams
- natural language
- multi agent
- decision trees