Titlebook: Research and Development in Intelligent Systems XXXIII; Incorporating Applic Max Bramer,Miltos Petridis Conference proceedings 2016 Springe

立即

Aromatic

Context-Aware Sentiment Detection from Ratingsg the consistency between the content and its accompanying emotional signal, either explicitly or implicitly. In this work we describe novel techniques for automatically producing domain specific sentiment lexicons that are optimised for the language patterns and idioms of a given domain. We describ

infatuation

Recommending with Higher-Order Factorization Machinese data is to provide customers with proper offers in order to gain sales and profit. Recommender systems cope with those large amounts of data and have thus become an important factor of success for many companies. One promising approach to generate capable recommendations are Factorization Machines

星球的光亮度

Multitask Learning for Text Classification with Deep Neural Networksde-and-conquer approach in machine learning. The training signals of related tasks induce a bias that helps to find better hypotheses. This paper reviews the concept of multitask learning and prior work on it. An experimental evaluation is done on a large scale text classification problem. A deep ne

責(zé)怪

Charlatan

eustachian-tube

A Fast Algorithm to Estimate the Square Root of Probability Density Functiony function. It is shown that, if the kernel centres and kernel width are known, then the underlying problem can be formulated as a Riemannian optimization one. The first order Riemannian geometry of the sphere manifold and vector transport are explored, and then the well-known Riemannian conjugate g

harmony

3Dana: Path Planning on 3D Surfacesalgorithms focus on minimizing the total distance, generally assuming a flat terrain. Newer approaches also include traversability cost maps to define the terrain characteristics. However, this approach may generate unsafe paths in realistic environments as the terrain relief is lost in the discreti

暗指

Covert Implementations of the Turing Test: A More Level Playing Field?opportunity to pass the Turing Test (or equivalent) in its overt, declared form. This paper looks at two recent covert Turing Tests in order to test this hypothesis. In one test (at Loyola Marymount) run as a covert-singleton test, of 50 subjects who talked to the chatbot avatar 39 (78?% deception)

enumaerate

Recommending with Higher-Order Factorization Machinesement the necessary additional term for 3-way interactions in the model equation in order to retain the advantage of linear complexity. Furthermore, we carry out a simulation study which demonstrates that modeling 3-way interactions improves the prediction quality of a Factorization Machine.