diff --git a/mlpp/cost/cost.cpp b/mlpp/cost/cost.cpp
index ee145ab..97dbada 100644
--- a/mlpp/cost/cost.cpp
+++ b/mlpp/cost/cost.cpp
@@ -580,7 +580,7 @@ Ref<MLPPVector> MLPPCost::dual_form_svm_deriv(const Ref<MLPPVector> &alpha, cons
 	Ref<MLPPVector> alphaQDeriv = alg.mat_vec_multnv(Q, alpha);
 	Ref<MLPPVector> one = alg.onevecnv(alpha->size());
 
-	return alg.subtractionnm(alphaQDeriv, one);
+	return alg.subtractionnv(alphaQDeriv, one);
 }
 
 MLPPCost::VectorCostFunctionPointer MLPPCost::get_cost_function_ptr_normal_vector(const MLPPCost::CostTypes cost) {
diff --git a/mlpp/dual_svc/dual_svc.cpp b/mlpp/dual_svc/dual_svc.cpp
index 039ec9c..edf58d0 100644
--- a/mlpp/dual_svc/dual_svc.cpp
+++ b/mlpp/dual_svc/dual_svc.cpp
@@ -166,7 +166,7 @@ void MLPPDualSVC::save(const String &file_name) {
 	//util.saveParameters(file_name, _alpha, _bias);
 }
 
-MLPPDualSVC::MLPPDualSVC(const Ref<MLPPMatrix> &p_input_set, const Ref<MLPPMatrix> &p_output_set, real_t p_C, KernelMethod p_kernel) {
+MLPPDualSVC::MLPPDualSVC(const Ref<MLPPMatrix> &p_input_set, const Ref<MLPPVector> &p_output_set, real_t p_C, KernelMethod p_kernel) {
 	_input_set = p_input_set;
 	_output_set = p_output_set;
 	_n = p_input_set->size().y;
@@ -174,14 +174,16 @@ MLPPDualSVC::MLPPDualSVC(const Ref<MLPPMatrix> &p_input_set, const Ref<MLPPMatri
 	_C = p_C;
 	_kernel = p_kernel;
 
+	_z.instance();
 	_y_hat.instance();
+	_alpha.instance();
+
 	_y_hat->resize(_n);
 
 	MLPPUtilities utils;
 
 	_bias = utils.bias_initializationr();
 
-	_alpha.instance();
 	_alpha->resize(_n);
 
 	utils.weight_initializationv(_alpha); // One alpha for all training examples, as per the lagrangian multipliers.
diff --git a/mlpp/dual_svc/dual_svc.h b/mlpp/dual_svc/dual_svc.h
index 2ff6427..fc1a40b 100644
--- a/mlpp/dual_svc/dual_svc.h
+++ b/mlpp/dual_svc/dual_svc.h
@@ -37,7 +37,7 @@ public:
 	real_t score();
 	void save(const String &file_name);
 
-	MLPPDualSVC(const Ref<MLPPMatrix> &p_input_set, const Ref<MLPPMatrix> &p_output_set, real_t p_C, KernelMethod p_kernel = KERNEL_METHOD_LINEAR);
+	MLPPDualSVC(const Ref<MLPPMatrix> &p_input_set, const Ref<MLPPVector> &p_output_set, real_t p_C, KernelMethod p_kernel = KERNEL_METHOD_LINEAR);
 
 	MLPPDualSVC();
 	~MLPPDualSVC();