This paper presents a multiagent-system for integrating ALICE: a real-life, distributed, large-scale particle physics experiment of the LHC project at CERN. The work is concerned ...
Abstract—We present a throughput-driven partitioning algorithm and a throughput-preserving merging algorithm for the high-level physical synthesis of latency-insensitive (LI) sys...
Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into natu...