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  2. How To Answer Basic Interview Questions The Right Way - AOL

    www.aol.com/news/2012-07-25-how-to-answer-basic...

    By Jacqui Barrett-Poindexter For some, the most nerve-wracking part of a hiring process is the interview. But, it doesn't have to be if you've taken time to practice your answers and delivery ...

  3. Situation, task, action, result - Wikipedia

    en.wikipedia.org/wiki/Situation,_task,_action...

    Job interview candidates who describe a “Target” they set themselves instead of an externally imposed “Task” emphasize their own intrinsic motivation to perform and to develop their performance. Action: What did you do? The interviewer will be looking for information on what you did, why you did it and what the alternatives were.

  4. Hidden Markov model - Wikipedia

    en.wikipedia.org/wiki/Hidden_Markov_model

    Figure 1. Probabilistic parameters of a hidden Markov model (example) X — states y — possible observations a — state transition probabilities b — output probabilities. In its discrete form, a hidden Markov process can be visualized as a generalization of the urn problem with replacement (where each item from the urn is returned to the original urn before the next step). [7]

  5. Job interview - Wikipedia

    en.wikipedia.org/wiki/Job_interview

    One way to think about the interview process is as three separate, albeit related, phases: (1) the pre-interview phase which occurs before the interviewer and candidate meet, (2) the interview phase where the interview is conducted, and (3) the post-interview phase where the interviewer forms judgments of candidate qualifications and makes ...

  6. The 10 Most Common Job Interview Questions — and How To ...

    www.aol.com/10-most-common-job-interview...

    Zety, a resume builder and a career blog, asked over 500 hiring professionals what questions they typically ask during a job interview and found the top 10 most common interview questions.

  7. Hierarchical hidden Markov model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_hidden_Markov...

    The hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM, each state is considered to be a self-contained probabilistic model. More precisely, each state of the HHMM is itself an HHMM. HHMMs and HMMs are useful in many fields, including pattern recognition. [1] [2]

  8. Suggestive question - Wikipedia

    en.wikipedia.org/wiki/Suggestive_question

    Repeated questions can make people think their first answer is wrong and lead them to change their answer, or it can cause people to continuously answer until the interrogator gets the exact response that they desire. The diction used by the interviewer can also be an influencing factor to the response given by the interrogated individual.

  9. Interview (research) - Wikipedia

    en.wikipedia.org/wiki/Interview_(research)

    In a standardized open-ended interview, the same open-ended questions are asked to all interviewees. This approach facilitates faster interviews that can be more easily analyzed and compared. In a closed fixed-response interview, all interviewees are asked the same questions and asked to choose answers from among the same set of alternatives.