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Found 5 papers, 0 papers with code
Beyond the technical challenges for deploying Machine Learning solutions in a software company
Recently software development companies started to embrace Machine Learning (ML) techniques for introducing a series of advanced functionality in their products such as personalisation of the user experience, improved search, content recommendation and automation.
Efficient Classification of Multi-Labelled Text Streams by Clashing
Our method is composed of an online procedure used to efficiently map text into a low-dimensional feature space and a partition of this space into a set of regions for which the system extracts and keeps statistics used to predict multi-label text annotations.
The Anatomy of a Modular System for Media Content Analysis
As part of our ongoing effort in automating media content analysis for the social sciences, we have built a modular system by combining multiple AI modules into a flexible framework in which they can cooperate in complex tasks.
Finite-Time Analysis of Kernelised Contextual Bandits
For contextual bandits, the related algorithm GP-UCB turns out to be a special case of our algorithm, and our finite-time analysis improves the regret bound of GP-UCB for the agnostic case, both in the terms of the kernel-dependent quantity and the RKHS norm of the reward function.
