Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Yasemin Altun,Kamalika Das,Sašo Džeroski Conference proceedings

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Automatic Detection and Recognition of Individuals in Patterned SpeciesWidespread usage of camera traps has led to large volumes of collected images, making manual processing of visual content hard to manage. In this work, we develop a framework for automatic detection and recognition of individuals in different patterned species like tigers, zebras and jaguars. Most e

SHRIK

Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting weather conditions, lagged values, and day types may affect electricity load consumption. We propose to use multiple kernel learning (MKL) for electricity load forecasting, as it provides more flexibilities than traditional kernel methods. Computation time is an important issue for short-term load

天真

进入

DC-Prophet: Predicting Catastrophic Machine Failures in ,ata,entersincrease the reliability of a datacenter? To answer these questions, we have studied what are probably the largest, publicly available datacenter traces, containing more than . events from . machines. Among these samples, we observe and categorize three types of machine failures, all of which are ca

绅士

Disjoint-Support Factors and Seasonality Estimation in E-Commercef sales every year, to make this forecast. In e-commerce setting, where the catalog of items is much larger than brick and mortar stores and hence includes a lot of items with short history, it is infeasible to compute seasonality for items individually. It is customary in these cases to use ideas f

祸害隐伏

Event Detection and Summarization Using Phrase Networkmely challenging because of the subtle difference between “events” and trending topics, the definitive rarity of these events, and the complexity of modern Internet’s text data. Existing approaches often utilize topic modeling technique and keywords frequency to detect events on Twitter, which have

不利

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Have It Both Ways—From A/B Testing to A&B Testing with Exceptional Model Miningach test subject is presented with one of the two variants, and the measure of success is aggregated per variant. The variant of the product associated with the most success is retained, while the other variant is discarded. This, however, presumes that the company producing the products only has en