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Algorithm created by deep learning finds potential therapeutic targets throughout the human genome（图）
Algorithm created deep learning potential therapeutic targets throughout human genome
2020/8/14
Researchers at the New Jersey Institute of Technology and the Children's Hospital of Philadelphia have developed an algorithm through machine learning that helps predict sites of DNA methyla...
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
Stochastic Online Greedy Learning Semi-bandit Feedbacks
2016/1/22
The greedy algorithm is extensively studied in the field of combinatorial optimiza-tion for decades. In this paper, we address the online learning problem when the input to the greedy algorithm is sto...
Learning Arbitrary Statistical Mixtures of Discrete Distributions
Randomized algorithms Mixture learning Transportation distance Kantorovich-Rubinstein duality
2016/1/22
We study the problem of learning from unlabeled samples very general statistical mixture models on large finite sets.Specifically, the model to be learned, ϑ, is a probability dis-tribution over ...
Detection of Cognitive States from fMRI data using Machine Learning Techniques
Sequence Learning fMRI visuomotor Naive Bayes Classifier Support Vector machine Nearest neighbour classification
2015/7/29
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cognitive state. We consid...
Strategies in skill acquisition: reconciling continuous models of the learning curve with abrupt strategy shifts
skill acquisition learning mathematical models learning curves
2015/7/21
How does task completion time change with practice and what processes underlie this change? Despite over 100 years of scientific research (e.g., Bryan & Harter, 1899) no wholly satisfactory answer has...
Implementation of E-Learning System: Findings and Lessons Learned
E-Learning System Moodle Canvas LMS Qualitative Weight and Sum Approach National University of Mongolia
2013/1/28
This paper describes the implementation of the e-learning system at the School of Mathematics and Computer Science, National University of Mongolia. The paper includes in-house development of Edunet 1...
Intelligent Evidence-Based Management for Data Collection and Decision-Making Using Algorithmic Randomness and Active Learning
Active Learning Algorithmic Information Theory Algorithmic Randomness Evidence-Based Management Kolmogorov Complexity P-Values Transduction Critical States Prediction
2013/1/28
We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is...
基于Q-Learning的认知无线电系统感知管理算法
认知无线电 Q-Learning 感知任务管理
2010/3/8
认知无线电系统不仅是一个自适应系统，更应该是一个智能系统。该文将智能控制中的Q-Learning思想引入到认知无线电系统中，用于解决感知任务在认知用户之间的分配问题，给出了一种基于Q-Learning的感知管理算法。该算法在不知道信道状态信息以及不需要对主用户业务进行估计的假设下通过不断地与环境进行交互和学习来给认知用户分配感知任务。仿真表明，该算法能够提高感知效率，并且收敛速度较快，可作为未来认...
A Study on a Learning Algorithm
Learning systems Trainable Function Generator Nonlinear Function Generator
2009/10/15
In this paper, an algorithm which can generate a nonlineer multi-input function through a learning process is studied. This
algorithm, used by the Sulzer A.G. company for building heating automation,...
改进的E-learning社区自组织算法
Hebbian学习 P2P架构 E-learning社区
2009/8/6
为了解决E-learning过程中缺乏对学习者有针对性指导的难题，该文提出一种构建E-learning社区的改进算法。该算法采用P2P的架构，通过改进的Hebbian学习法则不断加强具有类似兴趣的学习者之间的联系，从而自动调整社区结构，最终将具有类似兴趣的学习者组织在一起。实验结果证明，与传统的P2P架构的Hebbian学习算法相比，该算法达到了更好的社区建设质量和更高的社区建设速度。
Context-Based Statistical Relational Learning.