Call For Paper
Multidisciplinary Studies
Machine learning and robotics in architecture
Digital and natural architecture
Machine learning in art, design, architecture
Machine learning for urban design
Machine learning and responsive architecture
Machine learning for interior design
Deep learning
Convolutional neural networks
Statistical learning
Neural network learning
Learning through fuzzy logic
Learning through evolution
Reinforcement learning
Multistrategy learning
Cooperative learning
Planning and learning
Multi-agent learning
Online and incremental learning
Scalability of learning algorithms
Inductive learning
Inductive logic programming
Bayesian networks
Support vector machines
Case-based reasoning
Evolutionary computation
Machine learning and natural language processing
Multi-lingual knowledge acquisition and representation
Grammatical inference
Knowledge acquisition and learning
Knowledge discovery in databases
Knowledge intensive learning
Knowledge representation and reasoning
Machine learning and information retrieval
Machine learning for bioinformatics and computational biology
Machine learning for web navigation and mining
Learning through mobile data mining
Text and multimedia mining through machine learning
Distributed and parallel learning algorithms and applications
Feature extraction and classification
Theories and models for plausible reasoning
Computational learning theory
Cognitive modeling
Hybrid learning algorithms