The BIAS FREE Framework

The BIAS FREE Framework

Objective: To test the applicability of the BIAS FREE Framework in African settings. Participants: Researchers from the Tanzanian National Institute for Medical Research, university and community-based researchers from Tanzania, the Gambia and South Africa. Setting: National Institute for Medical Research, Dar es Salaam Tanzania. Intervention: An intensive two-day workshop to examine the applic...

Bias-Free Neural Predictor

Prior research in neurally-inspired perceptron predictors have shown significant improvements in branch prediction accuracy by exploiting correlations in long branch histories. However, systems with moderate hardware budgets typically restrict such perceptron predictors from correlating beyond 64 to 128 past branches and limit their capability to learn distant branch correlations, such as on th...

The Transition From Centralized to a Free Economy Within the Framework of Regional Cooperation

Bias-free adaptive IIR filtering

We present a new family of algorithms that solve the bias problem in the equation-error based adaptive in nite impulse response (IIR) ltering. A novel constraint, called the constant-norm constraint, uni es the quadratic constraint and the monic one. By imposing the monic constraint on the mean square error (MSE) optimization, the merits of both constraints are inherited and the shortcomings ar...

The Effect of Cognitive Bias Modification in the Attention Bias of Students With Test Anxiety

Abstract Introduction: Many of the students chr('39')educational problems, including academic failure and maladaptive behaviors, stem from exam anxiety caused by studentschr('39') cognitive bias. Cognitive bias modification can reduce attention biases students to be negative. Therefore, the purpose of the present study was to investigate the effectiveness of cognitive bias modification interven...