Salah jurusan saat kuliah berdampak pada mahasiswa akan malas dan mendapat nilai yang kurang memuaskan. Jurusan seimbang dengan kemampuan mengakibatkan mengerti materi atau bahkan tidak menyukai perkuliahan diberikan. Maka sangat penting bagi seorang siswa untuk memilih sesuai bidang minat, bakat kemampuannya. Penelitian ini bertujuan memberikan rekomendasi program studi calon menggunakan metod...

Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between features. However it is known that the number of support vectors required in SVM typically grows linearly with the size of the training data set. Such a limitation of SVM becomes more critical when we need to select a sma...

The uniaxial compressive strength of weak rocks (UCSWR) is among the essential parameters involved for the design of underground excavations, surface and underground mines, foundations in/on rock masses, and oil wells as an input factor of some analytical and empirical methods such as RMR and RMI. The direct standard approaches are difficult, expensive, and time-consuming, especially with highl...

The selection of relevant features plays a critical role in relevance feedback for content-based image retrieval. In this paper, we propose an approach for dynamically selecting the most relevant feature space in relevance feedback. During the feedback process, an SVM classifier is constructed in each feature space, and its generalization error is estimated. The feature space with the smallest ...

We provide small sample size bounds on the generalisation error of linear classiiers that take advantage of large observed margins on the training set and sparsity in the data dependent expansion coeecients. It is already known from results in the luckiness framework that both criteria independently have a large impact on the generalisation error. Our new results show that they can be combined ...

Multimodal biometric systems have proven more efficient in personal verification or identification than single biometric ones, so it is also a focus of this paper. Particularly, in the paper, the authors present a multimodal biometric system in which features from face and fingerprint images are extracted using Zernike Moment (ZM), the personal authentication is done using Relevance Vector Mach...