Despite all of the advantages that circular BIST ofsers compared to conventional BIST approaches in terms of low area overhead, simple control logic, and easy insertion, it has se...
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
An algorithmic fault detection scheme for linear digital state variable systems is proposed. The proposed scheme eliminates the necessity of observing the internal states of the s...
This paper describes a novel and competitive complete conformant planner. Key to the enhanced performance is an efficient encoding of belief states as disjunctive normal form form...