10 research outputs found
High-Power Operation of Spintronic Terahertz Emitters for THz-Field-Driven Scanning Probe Microscopy at MHz Repetition Rates
Complete recovery of hemopoiesis following bone marrow transplant in a patient with unresponsive congenital hypoplastic anemia (Blackfan- Diamond syndrome)
Generation of broadband THz transients via metallic spintronic emitters driven by 20-fs pulses at 1030 nm
Evaluation of Outcome of Intravenous Catheter-related Infections in Critically Ill Patients
LBA-004Novel carcinoembryonic antigen T-cell bispecific (CEA-TCB) antibody: Preliminary clinical data as a single agent and in combination with atezolizumab in patients with metastatic colorectal cancer (mCRC)
Soft quantification in statistical relational learning
We present a new statistical relational learning (SRL) framework that supports reasoning with soft quantifiers, such as âmostâ and âa few.â We define the syntax and the semantics of this language, which we call PSLQ, and present a most probable explanation (MPE) inference algorithm for it. To the best of our knowledge, PSLQ is the first SRL framework that combines soft quantifiers with first-order logic rules for modelling uncertain relational data. Our experimental results for two real-world applications, link prediction in social trust networks and user profiling in social networks, demonstrate that the use of soft quantifiers not only allows for a natural and intuitive formulation of domain knowledge, but also improves inference accuracy.status: publishe