In this paper, we propose the first machine teaching algorithm for multiple inverse reinforcement learners.As our initial contribution, we formalize the problem of optimally teaching a sequential task to a heterogeneous class of learners.We then contribute a theoretical analysis of such problem, identifying conditions under which it is possible to
Free fatty acids (FFAs) are fundamental units of key nutrients.FFAs exert various biological functions, depending on the chain length and degree of desaturation.Recent studies have shown that several FFAs act as ligands of G-protein-coupled receptors (GPCRs), activate intracellular signaling and exert physiological functions via these GPCRs.GPR120
Ensemble local mean decomposition has Arousal Aids been gradually introduced into mechanical vibration signal processing due to its excellent performance in electroencephalogram signal analysis.However, an unsatisfactory problem is that ensemble local mean decomposition cannot effectively process vibration signals of complex mechanical system due t
Multiplexed bioassays, in which multiple analytes of interest are probed in parallel within a single small volume, have greatly accelerated the pace of biological discovery.Bead-based multiplexed bioassays have many technical advantages, including near solution-phase kinetics, small sample volume requirements, many within-assay replicates to reduce
Hyperspectral imaging is an indispensable technology for many remote sensing applications, yet expensive in terms of computing resources.It requires significant processing power and large storage due to the immense size of hyperspectral data, especially in the aftermath of the recent advancements in sensor technology.Issues pertaining to bandwidth