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FRDCSA | internal codebases | Study

Study Architecture Diagram: GIF

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Project Description

Capabilities

• Adapt clear and study to read/use wikipedia. Use the internal version to calibrate subject matter.
• That can be used by study, etc.
• study should consult heavily from Citeseer.
• study social psychology to understand the roots of racism.
• Find out what the best area is for me to study.
• The study system should model motivation for certain solutions, and use that to vector people along.
• Can use the same natural language processing stuff for spam for my study system. To cut away spam from real information. Develop trusted information model.
• study - reading system needs additional rules to reinforce its search.
• study - test for conceptual understanding, for instance, the difference between Perl modules and distributions.
• study should learn from the people, asking them to review every now and then. Should also use some initialization to get them to study that.
• study should ask people what they want to study, and then have them do so.
• study semantics - I want to study topic. I don't want to study topic.
• study complex methods of machine learning.
• study - Cara has training checklists for ISP Inhouse and Field Tech.
• study should also model who are experts in different domain. For instance Chris has 5 years of hard-core SQL
• study - Add to the ITS responsibilities for Debian operation to install the debian fortune package since it contains useful tips.
• study successful underdog situations.
• Rather than just marching out and trying to program in a language you don't really know you should do a full study of it.
• There is some truth that despite the fact that Aspergers do not learn social skills very, I myself have never really made a proper study (didn't occur to me). Therefore, I recommend a formal study of social skills to improve them (that is interesting and written by an Asperger for Aspergers.)
• I can work on study and setanta at the same time by applying ems to the report generation process. The report generation process can also be looked at as an information synthesis process.
• study should test user's without their knowledge - to avoid provoking them. Also should model their emotional reaction to various information.
• study can also use other areas like researchindex.com's topic index, etc.
• study should use table of contents as the source for all extracted subject areas.
• architect the entire study system first - before starting writing any part of it.
• study has to take their beliefs into account, so belief modelling is important here.
• study allows people to select which topics they like and use semantic inference.
• In order to do better testing for the study project, Dean should draft notes regarding failure scenarios.
• We should study the art of wiring.
• study should model business content areas by analyzing logs and using subsumption reasoning across tasks.
• mantra/study should support the ability to teach skills to bi-lingual users in return for them translating the manuals.
• Get brainleach, study (the two are actually related) working well.
• study vocabulary.
• study law in detail.
• Setup cso prefetch and study of existing applicaitons.
• study the theory of tact.
• Systematically study the properties of various systems, like logrotate -- all systems installed on this computer, and use them to maximimum advantage for these projects.
• queue AppConfig in study, need to get a sort of process model for these systems, so that they can store the various things they need to. for instance, the data model for seeker would include the status of the search.
• study crew resource management
• study semantic web services like Mad.
• study ways to manage Emacs windows better.
• Use the same study component for both evangelist and study.
• study financial mathematics.
• study nlp techniques for this system.
• GNU Formalized Research Database Cluster study and Apply
• study is similar to podcasting.
• Get study working better.
• apply critic to study
• study/fieldgoal/EM must guarantee familiarity with various areas.
• study can have this, and have domain specific stuff for these applications.
• From now on, I am going to spend more time trying to master software systems. I should create a priority map of software systems to study.
• study learning streams should be information theoretically strong in some sense.
• What systems required Google-like search functionality? study... some more probably
• Use picform Contexts for unilang classification, study assignment, etc. Eventually, develop Context classifier as part of critic?
• Obviously I am going to have to study up on how to be a team player if that is the problem.
• We can actually model who is saying to do what, so that we may learn from what groups of people are saying, and based on calculations about many things - about deceptions they might be interested (using inference models), i.e. motives, and other things, determine what are areas that are good to study, so that we can learn by social osmosis.
• Goal is to get study up and running ASAP and actually reading things to me, while I continue to work on it.
• Sleedy (sleep/study)
• Look up techniques for mapping these messages using various features. study machine learning, etc.
• By not giving away too much information which can't be true or is specific to agent interaction history, I could then meet in person and have very little to study in the briefing.
• Some areas that I want to study are EER (Enhanced Entity Relationship) models and UML models.
• I need to revisit the theory of RSR or study more.
• while not individually, collectively it would be much easier on me to simply read books, rather than spend shit loads of time solving particular problems. In other words - the planning system should almost always ahve me study the work before I do it. Kind of like the educational system.
• study ways of issuing commands without doing so.
• Commission study of performance issues for event.pm given current unilang system
• (really, should just put a debian folder in with each internal codebase so that packages can be generated directly from these, or simply study how people do incremental packaging of online sources)
• study nlp so that I know how to do sentence detection