PPT-Inferring

Evolutionary History with Network Models in Population Genomics Challenges and Progress Yufeng Wu Dept of Computer Science and Engineering University of Connecticut USA Dagstuhl Seminar 2010. Inferring the gene order of an extinct species has a wide range of applications including the potential to reve al more detailed evolutionary histories to determine gene co ntent and ordering and to understand the consequences of st ructural changes Nick . Chater. Behavioural Science Group. OVERVIEW. THE FICTIONAL SELF. THE ILLUSION OF DEPTH. WHY BEHAVIOUR IS (SOMEWHAT) COHERENT. IMPLICATIONS. 1. . THE FICTIONAL SELF. The claim. We infer our own inner life from our words and actions, just as we infer those of a third person. . Learning Goal. You will understand what an inference is and how to use text evidence and background knowledge to make . plausible inferences.. So, just what . i. s an inference?. We make inferences—or infer—all the time.. 2 Classification of Implicit Feedback Techniques Implicit feedback techniques take advantage of user behavior to understand user interests and preferences. Oard and Kim [OK01] classified observa Sun Simiao. Study Human Activity from Raw GPS Data. Current Condition:. Lots of GPS. . devices provide us . h. uge amount of GPS data. GPS data does not improve semantic richness. Problem:. How to conquer the semantic gap between raw data and personal activity. Making Inferences. How do you make an inference?. Making Inferences. We all make inferences when we take what we already know (schema), and then take clues from the text, and reach an assumption or conclusion!. Jan Reineke. j. oint work with Andreas Abel. . . Uppsala University. December 20, 2012 . The Timing Analysis Problem. Embedded Software. Timing Requirements. ?. Microarchitecture. +. What does the execution time of a program depend on?. Metacognition & Schema. Knowing what you know, and what you don’t know, and knowing how you can apply what you DO know to do the task.. Also known as THINKING.. Metacognition. In order to improve reading, you must draw upon prior knowledge.. Quickwrite. : What is happening in this image?. How do you know?. The man is banging his head against the blackboard–. Banging one’s head against the wall can be seen as a sign of frustration or ‘giving up’. Daniel R. Schlegel and Stuart C. Shapiro. Department of Computer Science and Engineering. University at Buffalo, The State University of New York. Buffalo, New York, USA. <. drschleg,shapiro. >@buffalo.edu. chord sequences via lyrics. Tom O'Hara. CS Adjunct at Texas State 2010-11 (to17@txtstate.edu). thomas.paul.ohara@gmail.com. Texas State University - Computer Science Talk. based on talk at ACM Workshop on Music Recommendation and Discovery (WOMRAD). Agents (Ch. 2). examples of agents. webbots, ticket purchasing, electronic assistant, . Siri. , . news filtering, . autonomous vehicles. , printer/copier monitor, Robocup soccer, NPCs in Quake, Halo, Call of Duty.... Koen Decroix, Denis Butin, Joachim Jansen, Vincent Naessens. ICISS 2014, Hyderabad. Outline. Introducing Accountability. Goal. Modeling Approach. Evaluation. Conclusions. Introducing Accountability. Username. Hydropower Generation. Water Availability. Infrastructure . Component. Climate Conditions. Land Management. Extreme Events. Environment . Component. Policy Makers. Ministries & Managers. Communication.