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Our proposed algorithm is based on multi-task learning and Bayesian optimization. Inference occurs transparently to the user and no human intervention is needed to derive the classification model. Such labels are important both for giving understandable location information to people and for automatically inferring activities. … Semantic place labels are labels like «home», «work», and «school» given to geographic locations where a person spends time. The current paper takes the first step in this important direction by posing a simple, but crucial question: Can cocaine use be reliably detected using wearable electrocardiogram (ECG) sensors? The data consists of unlabeled videos of recorded experiments and «weakly supervised» information (i.e., «theoretical» and asynchronous knowledge of sets of high level activity sequences in the experiment) used to train the system. Following the pledge the master gave his first lesson; at which time the student had to pay half of the fee, the other paid at the end of the month.