Key: vae(representation), rnn(predictive model) ExpEnv: car racing, vizdoom Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine. NIPS 2018 Key: probabilistic ensembles with trajectory sampling ExpEnv: ...
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. Cheng Tan(ZJU), Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li. NIPS 2023. link Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis. ...
51.3 Significance and representativeness of reference models for smart grid ICT architectures... 7 2 Framework for modeling and automated analysis...92.1 Predictive, probabilistic architecture modeling framework (P2AMF)... 92.2 Cyber Security Modeling Language (CySeMoL)... 92.3 Software engine for...
SPSS Modeler has a visual interface that allows users to work with data mining algorithms without the need of programming. It eliminates the unnecessary complexities faced during data transformations and to make easy to use predictive models. IBM SPSS comes in two editions, based on the features I...
In 2014, the first experiment of drug inclusion into or exclusion from restrictive inventories based on a score system and independent expert assessments has been carried out. Based on data obtained in 2014, the present authors have developed and tested linear mathematical models for making decisions...
We have found, however, that researchers have established objective and quantitative data, relationships, and predictive models that help software developers avoid predictable pitfalls and improve their ability to predict and control efficient software projects. The article presents 10 techniques that can ...
Crime-predicting models cannot on their own realize racial equity. It turns out that models that are racially equitable in one sense are not in another. This is often referred to as machine bias. This quandary also applies for other kinds of consequential decisions driven by predictive models...
As a global provider of maritime intelligence Lloyd’s List Intelligence data is integrated into the workflows of organisations from national governments to high-growth start-ups. AIS+ data is used for: vessel tracking for fleet management and voyage optimisation, predictive arrivals insight, port and...
- Conduct exploratory data analysis using descriptive statistics, data grouping, analysis of variance (ANOVA), and correlation statistics. - Develop a predictive model using various regression methods. - Evaluate a model for overfitting and underfitting conditions and tune its performance using regularizati...
6150 A COMPARATIVE STUDY ON ANNOTATION QUALITY OF CROWDSOURCING AND LLM VIA LABEL AGGREGATION 7551 A COMPARISON OF PARAMETER-EFFICIENT ASR DOMAIN ADAPTATION METHODS FOR UNIVERSAL SPEECH AND LANGUAGE MODELS 10309 A complete method for the 3D reconstruction of axonal pathways from 2 orthogonal 3D OCT ima...