Holographic Embeddings for Knowledge Base Completion (Tensorflow) • r/compsci

@machinelearnbot

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Knowledge Engineering of Creative Musical Expressions Using Carnatic Music Ideology

AAAI Conferences

The purpose of this paper is to propose a method to analyze creative music expressions of a performer in South Indian Classical Music (Carnatic Music). The method performs a qualitative classification of the extracted note sequences in a Carnatic music exposition by defining pattern classes. The classification attributes the note sequences in varying degrees to each of the classes. These pattern classes, based on the formalized Carnatic music theory, help in capturing the dynamics of a performer. This provides a framework for style-based music generation.


Op-ed by Gov. Inslee: Why Washington leads states in personal income

#artificialintelligence

Governor Inslee's op-ed for CNBC published July 12, 2016 America's advantage in the knowledge-based economy is our human capital. Well-educated, highly-trained, creative-thinking people are essential to the most innovative companies and successful entrepreneurs in the world today. Skilled people are the currency of economic development for states in the 21st century. Why are nearly 95 percent of all the commercial aircraft in North America built in Washington state? Why is our Puget Sound region the cloud computing capital?


Braidio announces WorkStreams platform to optimise enterprise productivity

ZDNet

Technology is changing rapidly, information is coming at us so fast that traditional methods of learning the information you need for the job - and improving your performance - are no longer effective. The challenge is giving your employees the tools they need to be able to access the requisite knowledge, and the ability to share it, is key to business success. SaaS had a major impact on the way companies consume cloud services. This ebook looks at how the as a service trend is spreading and transforming IT jobs. San Francisco, CA-based social workplace intelligence platform Bradio has launched a new platform that aims to address these issues.


Intelligent Multiobjective Optimization of Distribution System Operations

AI Magazine

A hybrid fuzzy knowledge-based system with crisp and fuzzy rules as well as numerical methods was developed for multiobjective optimization of power distribution system operation. The development process and knowledge-acquisition process for the fuzzy knowledge-based system are described in detail. After a heuristic preprocessor proposes a list of switch openings that would seem to reduce system losses, network radiality rules consider whether to open a particular switch and find a corresponding switch that can be closed to maintain radiality. Network performance rules find the degree of desirability of proposed switching combinations for enhancing multiple objectives.