Stream-based Online Active Learning in a Contextual Multi-Armed Bandit Framework. Best-Buddies Tracking. Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalisation. Short-term time series prediction using Hilbert space embeddings of autoregressive processes. Distributed Representations for Biological Sequence …

The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning. Tracing liquid level and material boundaries in transparent vessels using the graph cut computer vision approach. An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. A Dictionary …

Variable Neighborhood Search Algorithms for the multi-depot dial-a-ride problem with heterogeneous vehicles and users. Path planning with Inventory-driven Jump-Point-Search. Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models. A New Android Malware Detection Approach Using Bayesi …

Joint Sound Source Separation and Speaker Recognition. Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs. Relational Similarity Machines. Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications. Application of Statistical Relational Learning to Hybrid Recommendation Systems. A Non-convex One-Pass Framework for Gen …