Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

TIA742

Sentimental Analysis for AIML-Based E-Health Conversational Agentsined on a large corpus of smartphone application reviews and their sentiment ranks obtained from the Google playstore. These models are tested on collected, real-life conversations between a human and a machine. It is found that positive utterances are classified with a high accuracy but classifying negative utterances is still challenging.

亚当心理阴影

CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Valuesct the entire learned image. We note that we have to train an individual neural network for each input image, i.e. one network encodes a single image. Our neural image encoding approach has various low-level image processing applications ranging from image denoising to image resampling and image completion. Our code is available at ..

混合

Computationally Efficient Radial Basis Functionetworks. On an average, we recorded a speed-up in training time of about 8% for SQ-RBF based networks without affecting the overall generalizability of the network. SQ-RBF uses about 10% fewer neurons than Gaussian RBF hence making it very attractive.

要求比…更好

敲诈

A Hybrid Model Based on the Rating Bias and Textual Bias for Recommender Systems work, we present a hybrid model that integrates the textual bias and rating bias to the PMF framework simultaneously. This model can exploit and modified the item specific word representation by CNN and obtain more precise side-information. Experiments on the three real-world datasets show that our model outperforms state-of-the-art method.

明智的人

978-3-030-04178-6Springer Nature Switzerland AG 2018