Results 131 to 140 of about 5,397,625 (216)
Distributionally robust submodular maximization
, 2020 Submodular functions have applications throughout machine learning, but in many settings, we do not have direct access to the underlying function f. We focus on stochastic functions that are given as an expectation of functions over a distribution P.
Staib, Matthew +2 more
core
Primer design through submodular function estimation. [PDF]
BioinformaticsChen Y +6 more
europepmc +1 more source
Sequential submodular feature-sample selection for lightweight and update-efficient IoT intrusion detection. [PDF]
Sci RepAmr MN, Elliethy A, Mekkawy T, Mahran A.
europepmc +1 more source
Regularized impurity reduction: accurate decision trees with complexity guarantees. [PDF]
Data Min Knowl Discov, 2023 Zhang G, Gionis A.
europepmc +1 more source
Budget-Aware Routing for Long Clinical Text. [PDF]
Find ACL ACLQureshi K, Martin G, Peng Y.
europepmc +1 more source
Discovering Key Sub-Trajectories to Explain Traffic Prediction. [PDF]
Sensors (Basel), 2022 Wang H, Fan Z, Chen J, Zhang L, Song X.
europepmc +1 more source
Minimizing Submodular Functions over Families of Sets
, 1995 We consider the problem of characterizing the minimum of a submodular function when the minimization is restricted to a family of subsets. We show that, for many interesting cases, there exist two elements a and b of the groundset such that the problem ...
M. X. Goemans, V.S. Ramakrishnan
core
Functional muscle networks as biomarkers of post-stroke motor impairment and therapeutic responsiveness. [PDF]
ElifeO'Reilly D +5 more
europepmc +1 more source
Threshold-Aware Link-Graph Compression with Per-Sensor Observed-Packet Coverage Constraints and Temporal Robustness in Urban LoRaWAN Networks. [PDF]
Sensors (Basel)Osadchyi V +5 more
europepmc +1 more source