Suppose X ∼ N(μ, σ) ∈ R. We want to test if μ = 0 or μ > 0, and say we know σ. Then noting that Y = X/σ ∼ N(0, 1) under the null, we suggest the test I(X/σ > zα) which has error rate P1(X/σ ≤ zα) = Φ(zα − μ/σ) Hence everything depends on SNR μ/σ. Getting an observation from X ∼ N(μ, σ) is exactly like getting an observation Y ∼ N(μ/σ, 1). Similarly, suppose we get M measurements, calculating X̄ ...

While there is a need for business process management professionals in economy, enrolment in IS programs is declining. The resulting gap is even widened by early terminations of students due to various reasons. Missing motivation, as one of these reasons, is tackled by the Active Lab course concept presented in this paper. Such Active Labs are inspired by Social BPM Labs, which represent course...

We handle design problems with modeling and optimization. Sometimes this procedure is under question due to the lack of knowledge about the design constraints, especially when human evaluation is involved. In this work we look into the problem of indentifying constraints when they are not physically available and can only be identified by trial. The solution is indeed an application of active l...

This study compares the impact of an active teaching approach and a traditional (or passive) teaching style on student cognitive outcomes. Across two sections of an introductory business course, one class was taught in an active or “nontraditional” manner, with a variety of active learning exercises. The second class was taught in a passive or “traditional” manner, emphasizing daily lectures. A...

We handle design problems with modeling and optimization. Sometimes this procedure is under question due to the lack of knowledge about the design constraints, especially when human evaluation is involved. In this work we look into the problem of identifying constraints when they are not physically available and can only be identified by trial. The solution is indeed an application of active le...

Active Learning (AL) methods seek to improve classifier performance when labels are expensive or scarce. We consider two central questions: Where does AL work? How much does it help? To address these questions, a comprehensive experimental simulation study of Active Learning is presented. We consider a variety of tasks, classifiers and other AL factors, to present a broad exploration of AL perf...

We present and analyze an agnostic active learning algorithm that works withoutkeeping a version space. This is unlike all previous approaches where a restrictedset of candidate hypotheses is maintained throughout learning, and only hypothe-ses from this set are ever returned. By avoiding this version space approach, ouralgorithm sheds the computational burden and brittleness as...

While presentation aspects like graphics and sound are important to a successful commercial game, it is likewise important that the gameplay, the non-presentational behaviour of the game, is engaging to the player. Considerable effort is invested in testing and refining gameplay throughout the development process. We present an overall view of the gameplay management problem and, more concretel...

Teaching Law to Business students presents particular challenges. Chief among them is the need to engage students with legal material and a legal method while presenting a context for understanding that is relevant to their program of choice. This paper identifies challenges in the teaching of an introductory Business Law course delivered to first year, first semester students as a required cou...

We present an integrated system for segmenting demonstrations, recognizing repeated skills, and generalizing multi-step tasks from unstructured demonstrations. This method combines recent work in Bayesian nonparametric statistics and learning from demonstration with perception using an RGBD camera to generalize a multi-step task on the PR2 mobile manipulator. We demonstrate the potential of our...