Time and Distance: Asymmetries in Consumer Trip Knowledge and Judgments

Attitude of judgment and reaction time i

Attitude of judgment and reaction time in estimation of size at a distance

✍ Epstein, William ;Broota, Krishan D. 📂 Article 📅 1975 🏛 Psychonomic Society Publications 🌐 English ⚖ 565 KB

Future versus present: Time perspective

Future versus present: Time perspective and pupillary response in a relatedness judgment task investigating temporal event knowledge

✍ Nowack, Kati; Milfont, Taciano L.; van der Meer, Elke 📂 Article 📅 2013 🏛 Elsevier Science 🌐 English ⚖ 529 KB

[Lecture Notes in Computer Science] NETW

[Lecture Notes in Computer Science] NETWORKING 2005. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems Volume 3462 || Measuring Round Trip Times to Determine the Distance Between WLAN Nodes

✍ Boutaba, Raouf; Almeroth, Kevin; Puigjaner, Ramon; Shen, Sherman; Black, James P 📂 Article 📅 2005 🏛 Springer Berlin Heidelberg ⚖ 337 KB

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Knowledge Discovery and Data Mining Volume 3518 || A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series

✍ Ho, Tu Bao; Cheung, David; Liu, Huan 📂 Article 📅 2005 🏛 Springer Berlin Heidelberg ⚖ 130 KB

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - Mining distance-based outliers in near linear time with randomization and a simple pruning rule

✍ Bay, Stephen D.; Schwabacher, Mark 📂 Article 📅 2003 🏛 ACM Press ⚖ 216 KB

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - Mining distance-based outliers in near linear time with randomization and a simple pruning rule

✍ Bay, Stephen D.; Schwabacher, Mark 📂 Article 📅 2003 🏛 ACM Press 🌐 English ⚖ 216 KB

Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal of finding fast algorithms for this task. We show that a simple nested loop algorithm that in the worst case is quadratic