Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
— This paper proposes a new approach for decoding LDPC codes over MISO channels. Since in an nT × 1 MISO system with a modulation of alphabet size 2M, nT transmitted symbols are...
Amir H. Djahanshahi, Paul H. Siegel, Laurence B. M...
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
We present fault localization techniques suitable for diagnosing end-to-end service problems in communication systems with complex topologies. We refine a layered system model th...
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...