搜索结果: 1-15 共查到“计算机软件 Learning”相关记录25条 . 查询时间(0.187 秒)
2017第四届机器学习公平，责任和透明度研讨会（4th Workshop on Fairness, Accountability, and Transparency in Machine Learning ）
2017 第四届 机器学习 公平 责任 透明度 研讨会
2017/6/29
This workshop aims to bring together a growing community of researchers, practitioners, and policymakers concerned with fairness, accountability, and transparency in machine learning. The past few yea...
2017国际自适应和学习代理研讨会（International Workshop on Adaptive and Learning Agents）
2017 国际自适应 学习 代理 研讨会
2017/4/25
Adaptive Learning Agents (ALA) encompasses diverse fields such as Computer Science, Software Engineering, Biology, as well as Cognitive and Social Sciences. The ALA workshop will focus on agents and m...
Reinforcement Learning (RL) has achieved many successes over the years in training autonomous agents to perform simple tasks. However, it takes a long time to learn a solution and this solution can us...
第一届E2E机器学习数据管理研讨会（1st Workshop on Data Management for End-to-End Machine Learning）
第一届 E2E 机器学习 数据管理 研讨会
2017/4/25
The DEEM workshop will be held in conjunction with SIGMOD/PODS 2017. DEEM brings together researchers and practitioners at the intersection of applied machine learning, data management and systems res...
第六届大型机器学习与大数据分析并行与分布式计算国际研讨会（The 6th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics）
第六届 机器学习 大数据分析 并行 分布式计算 国际研讨会
2017/4/25
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS).
The 34th International Conference on Machine Learning (ICML 2017) ...
2017年主动学习大数据国际研讨会（The International Workshop on Active Learning for Big Data）(ALBD-2017)
2017年 主动学习大数据 研讨会
2017/3/28
Active Learning addresses the interaction between Machine Learning/Data Mining algorithms and human feedbacks, reduces the human efforts for manual labelling, avoids data redundancy, and improves the ...
Stratified Synthesis: Automatically Learning the x86-64 Instruction Set
ISA specification program synthesis x86-64
2016/5/24
The x86-64 ISA sits at the bottom of the software stack of most desktop and server software. Because of its importance,many software analysis and verification tools depend, either explicitly or implic...
Deep Learning of Feature Representation with Multiple Instance Learning for Medical Image Analysis
deep learning feature learning supervised un- supervised multiple instance learning
2016/1/22
This paper studies the effectiveness of accomplishing high-level tasks with a minimum of manual annotation and good feature rep-resentations for medical images. In medical image analysis, objects like...
Distributed optimization and statistical learning via the alternating direction method of multipliers
Statistics machine learning convex optimization framework modern data set data set
2015/8/7
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
Block splitting for large-scale distributed learning
Machine statistics data sets convex optimization the model data collection processing machine
2015/8/7
Machine learning and statistics with very large datasets is now a topic of widespread interest, both in academia and industry. Many such tasks can be posed as convex optimization problems, so algorith...
A Supervised Learning Approach to Acronym Identification
acronym identification supervised learning
2015/8/3
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular expressions. In this...
Learning High-Level Planning from Text。
Analysing the Required Properties of Business Simulation Games to Be Used in E-Learning and Education
Serious Games Business Simulation Games E-Learning Problem-Based Learning Business Environment
2013/1/28
Business simulation games are considered as effective tools for the empowerment and mediation of business content learning. They act as serious games which contribute to learning through a simulation ...
Automatic Risk Identification in Software Projects: an Approach based on Inductive Learning
Risk Management Risk Identification Software Engineering Expert System
2013/1/28
Effective risk management is very important to increase the probability of success in software projects. Indeed, like other types of projects, software projects are also susceptible to various problem...