Linking Symptom Inventories using Semantic Textual Similarity

Autor: Kennedy, Eamonn, Vadlamani, Shashank, Lindsey, Hannah M, Peterson, Kelly S, OConnor, Kristen Dams, Murray, Kenton, Agarwal, Ronak, Amiri, Houshang H, Andersen, Raeda K, Babikian, Talin, Baron, David A, Bigler, Erin D, Caeyenberghs, Karen, Delano-Wood, Lisa, Disner, Seth G, Dobryakova, Ekaterina, Eapen, Blessen C, Edelstein, Rachel M, Esopenko, Carrie, Genova, Helen M, Geuze, Elbert, Goodrich-Hunsaker, Naomi J, Grafman, Jordan, Haberg, Asta K, Hodges, Cooper B, Hoskinson, Kristen R, Hovenden, Elizabeth S, Irimia, Andrei, Jahanshad, Neda, Jha, Ruchira M, Keleher, Finian, Kenney, Kimbra, Koerte, Inga K, Liebel, Spencer W, Livny, Abigail, Lovstad, Marianne, Martindale, Sarah L, Max, Jeffrey E, Mayer, Andrew R, Meier, Timothy B, Menefee, Deleene S, Mohamed, Abdalla Z, Mondello, Stefania, Monti, Martin M, Morey, Rajendra A, Newcombe, Virginia, Newsome, Mary R, Olsen, Alexander, Pastorek, Nicholas J, Pugh, Mary Jo, Razi, Adeel, Resch, Jacob E, Rowland, Jared A, Russell, Kelly, Ryan, Nicholas P, Scheibel, Randall S, Schmidt, Adam T, Spitz, Gershon, Stephens, Jaclyn A, Tal, Assaf, Talbert, Leah D, Tartaglia, Maria Carmela, Taylor, Brian A, Thomopoulos, Sophia I, Troyanskaya, Maya, Valera, Eve M, van der Horn, Harm Jan, Van Horn, John D, Verma, Ragini, Wade, Benjamin SC, Walker, Willian SC, Ware, Ashley L, Werner Jr, J Kent, Yeates, Keith Owen, Zafonte, Ross D, Zeineh, Michael M, Zielinski, Brandon, Thompson, Paul M, Hillary, Frank G, Tate, David F, Wilde, Elisabeth A, Dennis, Emily L

An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which

Externí odkaz: http://arxiv.org/abs/2309.04607

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A New Result on the Complexity of Heuristic Estimates for the A* Algorithm

Autor: Hansson, Othar, Mayer, Andrew, Valtorta, Marco

Publikováno v: Artificial Intelligence, 55, 1 (May 1992), 129-143

Relaxed models are abstract problem descriptions generated by ignoring constraints that are present in base-level problems. They play an important role in planning and search algorithms, as it has been shown that the length of an optimal solution to

Externí odkaz: http://arxiv.org/abs/1803.06422