Of course, just because he's using a Galaxy S3 for tweeting doesn't mean he's accessing
classified data on it.
Not exact matches
Rather, the challenge was the inadvertent result of my 2009 insistence
on stress testing our methods of
classifying return / risk profiles against Depression - era
data.
Our difficult experience in the recent half - cycle resulted from my insistence in 2009
on stress - testing our methods against Depression - era
data, because the resulting methods of
classifying market return / risk profiles picked up that historical regularity.
We have folks (the CD Howe Business Cycle Council) who have set the definitions and draw conclusions based
on the
data, and even still, there's what appears to be a fair amount of subjectivity and ambiguity involved with
classifying recessions.
Based
on all the currently available
data and that remark from Mr. Alexander, my working assumption is that this episode indeed will be
classified as a category 1 recession, but if a different conclusion were reached, it would probably be for very good reason.
Most bettors can be
classified as squares: recreational weekend warriors who place their wagers based
on instinct, rather than
data and analysis.
Practice sorting and
classifying objects, we've got a candy sorting activity you could try, or how about collecting and organising
data on a LEGO bar chart?
On their website, the coalition institutions «commit» to gathering and publishing data on admissions and matriculation; median time to and percentage of degree completion; student and postdoc demographics; median time spent as postdocs; and, most importantly from the standpoint of those considering scientific training, «career outcomes for PhD and postdoctoral alumni, classified by job sector and career type.&raqu
On their website, the coalition institutions «commit» to gathering and publishing
data on admissions and matriculation; median time to and percentage of degree completion; student and postdoc demographics; median time spent as postdocs; and, most importantly from the standpoint of those considering scientific training, «career outcomes for PhD and postdoctoral alumni, classified by job sector and career type.&raqu
on admissions and matriculation; median time to and percentage of degree completion; student and postdoc demographics; median time spent as postdocs; and, most importantly from the standpoint of those considering scientific training, «career outcomes for PhD and postdoctoral alumni,
classified by job sector and career type.»
Specifically, the agencies provide
data on funding levels for basic research, applied research, development, construction of R&D facilities, and major capital equipment for R&D (see Definitions for the common definitions that OMB, the agencies, and AAAS use to
classify programs as R&D or non-R & D).
BOX 26, B -3-3; 30215360 / 734836 SAPA Reading Excerises, Activity of Rats, 1973 - 1974 Auto - Instructional, Point - to - Point, 1973 - 1974 Reading Excercises, Left Hand - Right Hand, 1974 Interpreting
Data, Earth Maps and Mars Photos, 1974 Interpreting
Data, Earth Maps and Mars Photos, 1974 Experimenting, I See, I See, 1974 Experimenting, Pressure and Volume, 1974 Operational Definitions, Flowers, 1974 Interpreting
Data, Scientific Notation, 1974 Formulating Hypothesis, Optical Illusions, 1974 Experimenting, Interference in Learning, 1974 Experimenting, Density, 1974 Experimenting, Plants in Light, 1974 Interpreting
Data, Things Look Bigger (Cells), 1974
Classifying, Six Legged Wonders, 1974 Experimenting, The Influence of Light
on Plant Growth, 1974 Measure I & II, Testing Guides and Tests General Evaluation Questionnaire (4 Folders), 1971 - 1972
BOX 23, A-15-4; 30219212 / 734979 SAPA Requests for Translations of SAPA materials, 1966 - 1968 Prerequisites for SAPA The Psychological Basis of SAPA, 1965 Requests for SAPA to be Used in Canada, 1966 - 1968 Requests for Assistance with Inservice programs, 1967 - 1968 Schools Using SAPA, 1966 - 1968 Speakers
on SAPA for NSTA and Other Meetings, 1968 Suggestions for Revisions of Part 4, 1967 - 1968 Suggestions for Revisions of the Commentary, 1967 - 1968 Summer Institutes for SAPA, Locations, 1968 Summer Institutes for SAPA, Announcement Forms, 1968 Inservice Programs, 1968 - 1969 Consultant Recommendations, 1967 - 1968 Inquiries About Films, 1968 Inquiries About Kits, 1967 - 1968 Inquiries About Evaluations, 1968 Tryout Teacher List, 1967 - 1968 Tryout Centers, 1967 - 1968 Tryout Feedback Forms, 1967 - 1968 Tryout Center Coordinators, 1967 - 1968 Cancelled Tryout Centers, 1967 - 1968 Volunteer Teachers for Parts F & G, 1967 - 1968 List of Teachers for Tryout Centers, 1963 - 1966 Tucson, AZ, Dr. Ed McCullough, 1964 - 1968 Tallahassee, FL, Mr. VanPierce, 1964 - 1968 Chicago, IL, University of Chicago, Miss Illa Podendorf, 1965 - 1969 Monmouth, IL, Professor David Allison, 1964 - 1968 Overland Park, KS, Mr. R. Scott Irwin and Mrs. John Muller, 1964 - 1968 Baltimore, MD, Mr. Daniel Rochowiak, 1964 - 1968 Kern County, CA, Mr. Dale Easter and Mr. Edward Price, 1964 - 1967 Philadelphia, PA, Mrs. Margaret Efraemson, 1968 Austin, TX, Dr. David Butts, 1968 Seattle, WA, Mrs. Louisa Crook, 1968 Oshkosh, WI, Dr. Robert White, 1968 John R. Mayer, personal correspondence, 1966 - 1969 Teacher Response Sheets, 1966 - 1967 Overland, KS Oshkosh, WI Monmouth, IL Baltimore, MD Teacher Response Checklist SAPA Feedback, 1965 - 1966 Using Time Space Relations Communicating Observing Formulating Models Defining Operationally Interpreting
Data Classifying (2 Folders) Measuring Inferring Predicting Formulating Hypothesis Controlling Variables Experimenting Using Numbers SAPA Response Sheets for Competency Measures, 1966
Recognizing that resistance is not «all or none» and that intermediate levels of resistance can have a continuum of effects
on pest control, the authors describe five categories of field - evolved resistance and use them to
classify 13 cases of resistance to five Bt toxins in transgenic corn and cotton based
on monitoring
data from five continents for nine major pest species.
Human Dx advocates the use of machine learning — a popular AI technique that automatically learns from
classifying patterns in
data — to crowdsource and build
on the best medical knowledge from thousands of physicians across 70 countries.
Going forward, they will be investigating, among other things, the co-design of hardware and software to improve efficiency even further and the possibility of allowing programmers themselves to
classify data according to their memory - access patterns, so that Jigsaw doesn't have to rely entirely
on observation to evaluate memory allocation.
It uses a fuzzy logic approach and
classifies data in terms of concepts, such as a plane «moving fast» or being «very threatening», and develops rules
on how to behave in response.
Huang's screening system is built
on image - based classifiers (an algorithm that
classifies data) constructed from a large number of Cervigram images.
Previous work by the Geo - Wiki team has produced improved cropland maps based
on crowdsourced
data from volunteers who
classify land cover
data from high - resolution satellite imagery.
To identify methodological categories, the outcome of each paper was
classified according to a set of binary variables: 1 - outcome measured
on biological material; 2 - outcome measured
on human material; 3 - outcome exclusively behavioural (measures of behaviours and interactions between individuals, which in studies
on people included surveys, interviews and social and economic
data); 4 - outcome exclusively non-behavioural (physical, chemical and other measurable parameters including weight, height, death, presence / absence, number of individuals, etc...).
In what has been called the largest study of its kind (
data on over 500,000 people) researchers
classified participants based
on their body mass index (BMI), calculated as weight (kg) divided -LSB-...]
Chitin and chitosan are primarily consumed as a supplement and poten - tially can be
classified as Functional Fibers if sufficient
data on physiological benefits in humans are documented.
Resistant dextrins can potentially be
classified as Functional Fibers when sufficient
data on physiological benefits in humans are documented.
Lignin isolated and added to foods could be
classified as Functional Fiber given sufficient
data on positive physi - ological effects in humans.
347 D IETARY, FUNCTIONAL, AND TOTAL FIBER can potentially be
classified as a Functional Fiber when sufficient
data on physiological benefits in humans are documented.
You are expected to provide personal information
on the basis of which the online dating service will sort
data and
classify the registered members.
A similar noise can be heard
on a cassette tape in Ground Zeroes labeled «
Classified Intel
Data» which has instructions not to use it in any music players.
Using student - level
data from two states, Harvard Professor Martin West and I found that 40 to 60 percent of schools serving mostly low - income or underrepresented minority students would fall into the bottom 15 percent of schools statewide based
on their average test scores, but only 15 to 25 percent of these same schools would be
classified as low performing based
on their test - score growth.
So AI is already superior in repetitive and predictive tasks, tasks that hinge
on computational power,
classifying huge amounts of
data and inputs, making decisions based
on concrete rules — with fewer biases than humans, but still induced by algorithms and
data sets chosen by humans.
Leaving School Empty Handed: A Report
on Graduation and Dropout Rates for Students who Receive Special Education Services In New York City This report examines the graduation outcomes of the more than 170,000 children currently
classified as having disabilities and in need of special education services in New York City, based
on Federal, New York State and New York City
data from the school years between 1996 - 1997 and 2003 - 2004....
FREE SAMPLE LESSONS Grade 3: Place Value and Fractions Card Set Lesson Planner Card View Sample Lesson Below Level: Activity 4 View Sample Lesson
On Level: Activity 4 View Sample Lesson Above Level: Activity 4 View Sample Lesson INCLUDES 63 Student Activity Cards Multiplication and Division Place Value and Fractions Measurement,
Data, and Geometry 3 Lesson Planner Cards 3 Teacher Notes Manipulatives Dual - Dial Platform Scale Measuring Pitchers Rulers Base Ten Flats Base Ten Rods Base Ten Units Link»N Learn Links Polyhedral Dice Color Tiles Place Value Cubes Rainbow Fraction Tiles Tape Measure Digital Stopwatch Two - Color Counters Rainbow Fraction Circles Geared Clocks Snap Cubes Geoboards Tangrams Centimeter Cubes
Classifying Counters Hundred Boards Cuisenaire Rods Transparent counters Number Cards
FREE SAMPLE LESSONS Grade 1: Length, Time,
Data, and Shapes Lesson Planner Card View Sample Lesson Below Level: Activity 1 View Sample Lesson
On Level: Activity 1 View Sample Lesson Above Level: Activity 1 View Sample Lesson INCLUDES 63 Student Activity Cards Addition and Subtraction Number Sense and Place Value Length, Time,
Data, and Shapes 3 Lesson Planner Cards 3 Teacher Notes Manipulatives RekenRods Ten - Frames Tangrams Pattern Blocks Transparent Counters Geared Clocks Number Cubes Inchworms Inchworms and Centibugs Rulers GeoSolids Color Tiles
Classifying Counters Link»N Learn Links Cuisenaire Rods Snap Cubes Hundred Boards Dot Dice Number Cards
FREE SAMPLE LESSONS Grade 2: Place Value and Properties Card Set Lesson Planner Card View Sample Lesson Below Level: Activity 4 View Sample Lesson
On Level: Activity 4 View Sample Lesson Above Level: Activity 4 View Sample Lesson INCLUDES 63 Student Activity Cards Addition and Subtraction Place Value and Properties Length, Time,
Data, and Shapes 3 Lesson Planner Cards 3 Teacher Notes Manipulatives RekenRods Ten - Frames Rulers Coin Tiles Sets Base Ten Flats Base Ten Rods Base Ten Units Pattern Blocks Assorted Coins In Bag Place Value Cubes Geared Clocks Color Tiles
Classifying Counters Cuisenaire Rods Snap Cubes Hundred Boards Link - Its Number Cards
Incessant testing with no relation to the real world, the mindless collection of trivia
classified as
data, forcing a «business model» like Enron or Lehman Brothers or General Motors
on the public schools, driving the arts and the social sciences out of the curriculum, and watching every Chancellor, Superintendent, Commissioner, and Secretary of Education promote charter schools over their own public schools at every turn.
On this note, and «[i] n sum, recent research on value added tells us that, by using data from student perceptions, classroom observations, and test score growth, we can obtain credible evidence [albeit weakly related evidence, referring to the Bill & Melinda Gates Foundation's MET studies] of the relative effectiveness of a set of teachers who teach similar kids [emphasis added] under similar conditions [emphasis added]... [Although] if a district administrator uses data like that collected in MET, we can anticipate that an attempt to classify teachers for personnel decisions will be characterized by intolerably high error rates [emphasis added
On this note, and «[i] n sum, recent research
on value added tells us that, by using data from student perceptions, classroom observations, and test score growth, we can obtain credible evidence [albeit weakly related evidence, referring to the Bill & Melinda Gates Foundation's MET studies] of the relative effectiveness of a set of teachers who teach similar kids [emphasis added] under similar conditions [emphasis added]... [Although] if a district administrator uses data like that collected in MET, we can anticipate that an attempt to classify teachers for personnel decisions will be characterized by intolerably high error rates [emphasis added
on value added tells us that, by using
data from student perceptions, classroom observations, and test score growth, we can obtain credible evidence [albeit weakly related evidence, referring to the Bill & Melinda Gates Foundation's MET studies] of the relative effectiveness of a set of teachers who teach similar kids [emphasis added] under similar conditions [emphasis added]... [Although] if a district administrator uses
data like that collected in MET, we can anticipate that an attempt to
classify teachers for personnel decisions will be characterized by intolerably high error rates [emphasis added].
FREE SAMPLE LESSONS Grade 1: Length, Time,
Data, and Shapes Lesson Planner Card View Sample Lesson Below Level: Activity 1 View Sample Lesson
On Level: Activity 1 View Sample Lesson Above Level: Activity 1 View Sample Lesson INCLUDES 63 Student Activity Cards 3 Lesson Planner Cards 3 Teacher Notes Manipulatives
Classifying Counters Color Tiles Cuisenaire Rods Geared Clocks GeoSolids Hundred Boards Inchworms and Centibugs Rulers Inchworms Link»N Learn Sets Number Cubes Pattern Blocks RekenRods Ten - Frames Snap Cubes Tangrams Transparent Counters
WHAT TO TEACH Whole Numbers and Decimals Operations with Fractions Measurement,
Data, Volume, and Geometry FREE SAMPLE LESSONS Grade 5: Whole Numbers and Decimals Card Set Lesson Planner Card View Sample Lesson Below Level: Activity 7 View Sample Lesson
On Level: Activity 7 View Sample Lesson Above Level: Activity 7 View Sample Lesson INCLUDES 63 Student Activity Cards 3 Lesson Planner Cards 3 Teacher Notes Manipulatives Base Ten Flats Base Ten Rods Base Ten Units Centimeter Cubes
Classifying Counters Color Tiles Cuisenaire Rods Deluxe Rainbow Fraction Circles Digital Stopwatch Dual - Dial Platform Scale Fraction Tiles Geoboards Link»N Learn Sets Place Value Cubes Polyhedral Dice Protractors Tape Measure Tracing Set
The Houston study, which substantially reduced imprecision by pooling multiple years of
data, still found that only about 46 percent of reading teachers
classified in the top 20 percent
on the state test were also among the top performers
on the district test.
Before you scour used - car lots and
classified ads, consider this: CarMD, a provider of automotive information and products, recently ranked the reliability of used vehicles based
on data recorded by thousands of certified mechanics nationwide.
In Quebec, surcharges can be added to your premiums if you're
classified as a riskier driver based
on the
data collected from your telematics device.
Merritt Clifton has used quantifiable
data to refute the claim that these dogs were common family pets by searching the
classified dogs - for - sale ads between 1900 - 1950
on NewspaperArchive.com.
For a long time, a lack of standard practices and agreement
on definitions (like what to
classify as an «adoption return» versus an «owner surrender,» or what to categorize as «owner - intended euthanasia») has undermined efforts to compile
data nationally.
Using this appropriated imagery, Zittel repeats elements and creates a fictitious aerial vista that is based
on a military landscape and exposes potentially
classified data to the public eye.
Subtitle E: Additional Market Assurance -(Sec. 351) Amends the Commodity Exchange Act to: (1) require energy derivatives to be traded
on a CFTC - regulated exchange unless CFTC issues an exemption; (2) require CFTC to fix limits, with respect to energy transactions,
on the aggregate number of positions which may be held by any person for each month across all markets subject to the CFTC's jurisdiction; (3) require CFTC to convene a Position Limit Energy Advisory Group to give CFTC recommendations
on such position limits; (4) give CFTC exclusive authority to grant exemptions for bona fide hedging transactions and positions from position limits imposed
on energy transactions; (5) revise provisions concerning bona fide hedging transactions; and (6) require CFTC to issue a rule defining and
classifying index traders and swap dealers for the purposes of
data reporting requirements and setting routine detailed reporting requirements for any position of such entities in contracts traded
on designated contract markets, over-the-counter markets, derivatives transaction execution facilities, foreign boards of trade, and electronic trading facilities with respect to significant price discovery contracts.
The difference is due to University of Bremen's analysis of
data from the newer AMSR - E sensor, which has a higher resolution and shows areas of open water that are
classified as ice - covered by the lower - resolution sensor that NSIDC relies
on.
Area - averaged precipitation
data (terciles) for south - west eastern Australia was
classified on the basis of STR intensity and position.
Classify the stations and the
data on their reliability (if that is the right term).
NOAA@NSIDC offers Environmental Working Group (EWG) atlases
on CD - ROM that contain historical and new information, including some previously
classified data.
«Office 365 Advanced
Data Governance applies machine learning to intelligently deliver proactive policy recommendations; classify data based on automatic analysis of factors like the type of data, its age and the users who have interacted with it; and take action, such as preservation or deletion.&ra
Data Governance applies machine learning to intelligently deliver proactive policy recommendations;
classify data based on automatic analysis of factors like the type of data, its age and the users who have interacted with it; and take action, such as preservation or deletion.&ra
data based
on automatic analysis of factors like the type of
data, its age and the users who have interacted with it; and take action, such as preservation or deletion.&ra
data, its age and the users who have interacted with it; and take action, such as preservation or deletion.»
Classify data based
on automatic analysis of factors such as age, user, type, sensitive
data and user - provided fingerprints.
Whilst observing relevant professional restrictions
on data sharing, the firm is working towards consolidating
data within and across these deployments based
on clear, standard processes for qualifying and
classifying contacts based
on clients, type of work, industry, experience, referrals and more.
Depending
on the insurance company, it can take 2 - 3 years before they're inclined to
classify you as Preferred, and 3 - 5 years before you will be suitable for Preferred Best (based
on your other health
data, of course).