Sentence examples for Learning graph from inspiring English sources

He also shared this "South West Grid for Learning" graph to be published later this year based on 6000 children from the UK.

SparkBench covers machine learning, graph computation, SQL queries, and streaming applications for benchmarking Spark [53].

Just like Facebook has created a social graph, and LinkedIn a professional graph, our goal is to create are learning graph," he explains.

The interdisciplinary team of experts from LBL, ICSI, and UC Berkeley in statistics, machine learning, graph analytics high-performance computing, data management, and domain sciences is ideally positioned to tackle these challenges.

For this, we present the following results: (i) A proof of the necessary Lloyd-Max conditions for optimality of a graph quantizer, (ii) consistency statements for optimal graph quantizer design, and (iii) an accelerated version of competitive learning graph quantization.

While it is evident that computationally complex processes like image processing, gaming etc. stand to gain much from parallel architectures; studies suggest that general purpose tasks such as machine learning, graph traversal, and finite state machines are also identified as the parallel applications of the future.

We proposed a novel framework to learn graph structure from unlabeled data.

As a result, one needs to design or learn graphs from data prior to any analysis, which in turn affects the subsequent tasks.

This paper proposes an automatic cartoon correspondence construction approach with iterative graph based transductive learning (Graph-TL) and distance metric learning (DML) estimation.

The papers represent the diversity and vitality in present ILP research including ILP theory, implementations, probabilistic ILP, biological applications, sub-group discovery, grammatical inference, relational kernels, learning of Petri nets, spatial learning, graph-based learning, and learning of action models.

Kernels methods provide a powerful framework which combines machine learning with graph theory techniques.